Instructions to use beomi/kcgpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beomi/kcgpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="beomi/kcgpt2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("beomi/kcgpt2") model = AutoModelForCausalLM.from_pretrained("beomi/kcgpt2") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use beomi/kcgpt2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "beomi/kcgpt2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "beomi/kcgpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/beomi/kcgpt2
- SGLang
How to use beomi/kcgpt2 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "beomi/kcgpt2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "beomi/kcgpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "beomi/kcgpt2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "beomi/kcgpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use beomi/kcgpt2 with Docker Model Runner:
docker model run hf.co/beomi/kcgpt2
Newly trained kcgpt2
Browse files- added_tokens.json +0 -1
- all_results.json +0 -8
- config.json +6 -16
- merges.txt +0 -0
- optimizer.pt +3 -0
- pytorch_model.bin +2 -2
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +0 -1
- tokenizer.json +0 -0
- tokenizer_config.json +0 -9
- train_results.json +0 -8
- trainer_state.json +0 -0
- training_args.bin +2 -2
- vocab.json +0 -0
added_tokens.json
DELETED
|
@@ -1 +0,0 @@
|
|
| 1 |
-
{"<|endoftext|>": 51200}
|
|
|
|
|
|
all_results.json
DELETED
|
@@ -1,8 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"epoch": 2.0,
|
| 3 |
-
"train_loss": 0.0,
|
| 4 |
-
"train_runtime": 7.106,
|
| 5 |
-
"train_samples": 351024,
|
| 6 |
-
"train_samples_per_second": 98796.531,
|
| 7 |
-
"train_steps_per_second": 6174.783
|
| 8 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
config.json
CHANGED
|
@@ -1,26 +1,14 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "skt/kogpt2-base-v2",
|
| 3 |
-
"_num_labels": 1,
|
| 4 |
"activation_function": "gelu_new",
|
| 5 |
"architectures": [
|
| 6 |
"GPT2LMHeadModel"
|
| 7 |
],
|
| 8 |
"attn_pdrop": 0.1,
|
| 9 |
-
"author": "Heewon Jeon(madjakarta@gmail.com)",
|
| 10 |
"bos_token_id": 0,
|
| 11 |
-
"created_date": "2021-04-28",
|
| 12 |
"embd_pdrop": 0.1,
|
| 13 |
-
"eos_token_id":
|
| 14 |
-
"gradient_checkpointing": false,
|
| 15 |
-
"id2label": {
|
| 16 |
-
"0": "LABEL_0"
|
| 17 |
-
},
|
| 18 |
"initializer_range": 0.02,
|
| 19 |
-
"label2id": {
|
| 20 |
-
"LABEL_0": 0
|
| 21 |
-
},
|
| 22 |
"layer_norm_epsilon": 1e-05,
|
| 23 |
-
"license": "CC-BY-NC-SA 4.0",
|
| 24 |
"model_type": "gpt2",
|
| 25 |
"n_ctx": 1024,
|
| 26 |
"n_embd": 768,
|
|
@@ -28,8 +16,9 @@
|
|
| 28 |
"n_inner": null,
|
| 29 |
"n_layer": 12,
|
| 30 |
"n_positions": 1024,
|
| 31 |
-
"
|
| 32 |
"resid_pdrop": 0.1,
|
|
|
|
| 33 |
"scale_attn_weights": true,
|
| 34 |
"summary_activation": null,
|
| 35 |
"summary_first_dropout": 0.1,
|
|
@@ -42,7 +31,8 @@
|
|
| 42 |
"max_length": 50
|
| 43 |
}
|
| 44 |
},
|
| 45 |
-
"
|
|
|
|
| 46 |
"use_cache": true,
|
| 47 |
-
"vocab_size":
|
| 48 |
}
|
|
|
|
| 1 |
{
|
|
|
|
|
|
|
| 2 |
"activation_function": "gelu_new",
|
| 3 |
"architectures": [
|
| 4 |
"GPT2LMHeadModel"
|
| 5 |
],
|
| 6 |
"attn_pdrop": 0.1,
|
|
|
|
| 7 |
"bos_token_id": 0,
|
|
|
|
| 8 |
"embd_pdrop": 0.1,
|
| 9 |
+
"eos_token_id": 0,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
"initializer_range": 0.02,
|
|
|
|
|
|
|
|
|
|
| 11 |
"layer_norm_epsilon": 1e-05,
|
|
|
|
| 12 |
"model_type": "gpt2",
|
| 13 |
"n_ctx": 1024,
|
| 14 |
"n_embd": 768,
|
|
|
|
| 16 |
"n_inner": null,
|
| 17 |
"n_layer": 12,
|
| 18 |
"n_positions": 1024,
|
| 19 |
+
"reorder_and_upcast_attn": false,
|
| 20 |
"resid_pdrop": 0.1,
|
| 21 |
+
"scale_attn_by_inverse_layer_idx": false,
|
| 22 |
"scale_attn_weights": true,
|
| 23 |
"summary_activation": null,
|
| 24 |
"summary_first_dropout": 0.1,
|
|
|
|
| 31 |
"max_length": 50
|
| 32 |
}
|
| 33 |
},
|
| 34 |
+
"torch_dtype": "float32",
|
| 35 |
+
"transformers_version": "4.12.3",
|
| 36 |
"use_cache": true,
|
| 37 |
+
"vocab_size": 55000
|
| 38 |
}
|
merges.txt
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93ecde191eb99ae4587f48aece7654374be4123ac8cd9b4c1ad53383b4dc10b7
|
| 3 |
+
size 1024745265
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc901c35c76f1939ee8ddb38077f5a769fa86ea77db759f0771f02329da75427
|
| 3 |
+
size 524974313
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43f57cf784eb422e17e9e8c7b08d5f4ce2b53d969cb8932de2f797667d0ec369
|
| 3 |
+
size 14503
|
scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b70a5bfca8b17ddde677e7a3b2022a8e1351340a715166b16130293e2978126
|
| 3 |
+
size 559
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:516e139d1b9de943ba4efb04d288122f8f75b95f8cb90cafa1c744af780cd436
|
| 3 |
+
size 623
|
special_tokens_map.json
DELETED
|
@@ -1 +0,0 @@
|
|
| 1 |
-
{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
|
|
|
|
|
|
tokenizer.json
DELETED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
DELETED
|
@@ -1,9 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"unk_token": "<|endoftext|>",
|
| 3 |
-
"bos_token": "<|endoftext|>",
|
| 4 |
-
"eos_token": "<|endoftext|>",
|
| 5 |
-
"pad_token": "<|endoftext|>",
|
| 6 |
-
"add_prefix_space": false,
|
| 7 |
-
"special_tokens_map_file": null,
|
| 8 |
-
"name_or_path": "beomi/kcgpt2"
|
| 9 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
train_results.json
DELETED
|
@@ -1,8 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"epoch": 2.0,
|
| 3 |
-
"train_loss": 0.0,
|
| 4 |
-
"train_runtime": 7.106,
|
| 5 |
-
"train_samples": 351024,
|
| 6 |
-
"train_samples_per_second": 98796.531,
|
| 7 |
-
"train_steps_per_second": 6174.783
|
| 8 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bad6335f985d22bc10d13eb2b3fcfffe7d76290fdc64d273339a2ae160c23870
|
| 3 |
+
size 2799
|
vocab.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|