Instructions to use autonomous019/deberta-base-ell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autonomous019/deberta-base-ell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autonomous019/deberta-base-ell")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("autonomous019/deberta-base-ell") model = AutoModelForSequenceClassification.from_pretrained("autonomous019/deberta-base-ell", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from autonomous019/deberta-base-ell: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/autonomous019/deberta-base-ell/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://autonomous019/deberta-base-ell@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/autonomous019/deberta-base-ell/resolve/refs%2Fpr%2F1/tokenizer.json
8.66 MB
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