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:
- f6edf0065f6f93897637684343ad3b796c90c15ad08b60e85f3caf6609792567
- Size of remote file:
- 268 MB
- SHA256:
- af0c135e689aba9422cc5b1343e304dc6c58dfd4b30b15607b1dcbd7faf9119c
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