Deepfox-1M
Model Developer: Mr.Robot1337
Model Type: Causal Language Model
Example Usage
Using Hugging Face Transformers:
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("SeraphyneLab/DeepFox-base-prototype")
tokenizer = AutoTokenizer.from_pretrained("SeraphyneLab/DeepFox-base-prototype")
input_text = "Once upon a time"
inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
License
This model is licensed under the Apache 2.0 License.
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