Instructions to use SOUMYADEEPSAR/deberta_subj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SOUMYADEEPSAR/deberta_subj with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SOUMYADEEPSAR/deberta_subj")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SOUMYADEEPSAR/deberta_subj") model = AutoModelForSequenceClassification.from_pretrained("SOUMYADEEPSAR/deberta_subj", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SOUMYADEEPSAR/deberta_subj: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/SOUMYADEEPSAR/deberta_subj/resolve/main/tokenizer.json
- Command line
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hf download hf://SOUMYADEEPSAR/deberta_subj/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SOUMYADEEPSAR/deberta_subj/resolve/main/tokenizer.json
8.66 MB
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