Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use genaibook/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use genaibook/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="genaibook/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("genaibook/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("genaibook/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from genaibook/classifier-chapter4: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/genaibook/classifier-chapter4/resolve/main/tokenizer.json
- Command line
-
hf download hf://genaibook/classifier-chapter4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/genaibook/classifier-chapter4/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.