Instructions to use Nadilazev/deberta-finetune-llm-exam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nadilazev/deberta-finetune-llm-exam with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Nadilazev/deberta-finetune-llm-exam") model = AutoModelForMultipleChoice.from_pretrained("Nadilazev/deberta-finetune-llm-exam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Nadilazev/deberta-finetune-llm-exam: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/Nadilazev/deberta-finetune-llm-exam/resolve/main/added_tokens.json
- Command line
-
hf download hf://Nadilazev/deberta-finetune-llm-exam/added_tokens.json
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curl -L -o added_tokens.json https://huggingface.co/Nadilazev/deberta-finetune-llm-exam/resolve/main/added_tokens.json
23 Bytes
| { | |
| "[MASK]": 128000 | |
| } | |