Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use yossir/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yossir/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yossir/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yossir/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("yossir/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d82b6fd955ce6ff47d727c4e3f507056ad76202418d5023928d6e828e973335a
- Size of remote file:
- 268 MB
- SHA256:
- 6ee0e5396387dc5a8b771aa1fb505d022defa274c42c8347be794ba5cc1be23d
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