Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
text-embeddings-inference
Instructions to use ICFNext/EYY-Categorisation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICFNext/EYY-Categorisation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ICFNext/EYY-Categorisation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ICFNext/EYY-Categorisation") model = AutoModelForSequenceClassification.from_pretrained("ICFNext/EYY-Categorisation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7906ddd639a3678eefcba36a6c902b219e8130a281dc7dbf12d4b753b2520933
- Size of remote file:
- 3.06 kB
- SHA256:
- 833718e3d44c252c8b3b2743e40695c847337730d454e2957cfab6ded5799dc5
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