Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use agi-css/distilroberta-base-mrl-sym with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agi-css/distilroberta-base-mrl-sym with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agi-css/distilroberta-base-mrl-sym")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agi-css/distilroberta-base-mrl-sym") model = AutoModelForSequenceClassification.from_pretrained("agi-css/distilroberta-base-mrl-sym") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bce584ccf95d9681d4b68d54613ca09951a9088642fd71319a0643cf068e6e8
- Size of remote file:
- 329 MB
- SHA256:
- dd02d33a02e8455c5e2939e4aa088b432d78c2bb16c6f2dc04ddafaac1b8659a
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