Instructions to use SaharshCr7/finetuned_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaharshCr7/finetuned_distilbert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DistilBertForMultilabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SaharshCr7/finetuned_distilbert") model = DistilBertForMultilabelSequenceClassification.from_pretrained("SaharshCr7/finetuned_distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SaharshCr7/finetuned_distilbert: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/SaharshCr7/finetuned_distilbert/resolve/main/tokenizer.json
- Command line
-
hf download hf://SaharshCr7/finetuned_distilbert/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SaharshCr7/finetuned_distilbert/resolve/main/tokenizer.json
711 kB
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