Instructions to use TranVanTri352/MCQ_Paragraph_AI_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TranVanTri352/MCQ_Paragraph_AI_Model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="TranVanTri352/MCQ_Paragraph_AI_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TranVanTri352/MCQ_Paragraph_AI_Model") model = AutoModelForSeq2SeqLM.from_pretrained("TranVanTri352/MCQ_Paragraph_AI_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from TranVanTri352/MCQ_Paragraph_AI_Model: direct link, hf CLI and curl.
- Browser
- Download file 142 Bytes
-
https://huggingface.co/TranVanTri352/MCQ_Paragraph_AI_Model/resolve/main/generation_config.json
- Command line
-
hf download hf://TranVanTri352/MCQ_Paragraph_AI_Model/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/TranVanTri352/MCQ_Paragraph_AI_Model/resolve/main/generation_config.json
142 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.46.3" | |
| } | |