Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use just-ne-just/working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use just-ne-just/working with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="just-ne-just/working")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("just-ne-just/working") model = AutoModelForSequenceClassification.from_pretrained("just-ne-just/working") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fa95e61678201802ace2b12c133fc6d0a05683b4eb6a22336e74bde55a8e52a
- Size of remote file:
- 5.37 kB
- SHA256:
- b4f3e41569e8bebdf4f0ac2bfe2582396006e8c540533844c99a461097cf517c
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