Instructions to use Peramanathan/cv-qa-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Peramanathan/cv-qa-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Peramanathan/cv-qa-model") model = AutoModelForSeq2SeqLM.from_pretrained("Peramanathan/cv-qa-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Peramanathan/cv-qa-model: direct link, hf CLI and curl.
- Browser
- Download file 152 Bytes
-
https://huggingface.co/Peramanathan/cv-qa-model/resolve/main/generation_config.json
- Command line
-
hf download hf://Peramanathan/cv-qa-model/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Peramanathan/cv-qa-model/resolve/main/generation_config.json
152 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": [ | |
| 1 | |
| ], | |
| "pad_token_id": 0, | |
| "transformers_version": "4.56.1" | |
| } | |