Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use pilotj/distil-bert-final-version with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pilotj/distil-bert-final-version with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pilotj/distil-bert-final-version")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pilotj/distil-bert-final-version") model = AutoModelForSequenceClassification.from_pretrained("pilotj/distil-bert-final-version", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pilotj/distil-bert-final-version: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/pilotj/distil-bert-final-version/resolve/main/training_args.bin
- Command line
-
hf download hf://pilotj/distil-bert-final-version/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pilotj/distil-bert-final-version/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- d9217005f0380bed3c92704329f6aca702aef5c311955a539b1d9c15cfb8369c
- Size of remote file:
- 5.24 kB
- SHA256:
- dce6bbaa4f3e0a5c6fd0a93750493b33f331874a67c71a9624ce5fddb7384b0c
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