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:
- d4b0ca131ead6a8419621ef3e5d96891e68723826c5ecf5390d28cdcbcc20f8a
- Size of remote file:
- 268 MB
- SHA256:
- d16b615977565023420818947af37d7217ad69d1ac58a9f4a3be4e049354189c
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