Instructions to use aparajitha/legpeg-sci-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aparajitha/legpeg-sci-tr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aparajitha/legpeg-sci-tr") model = AutoModelForSeq2SeqLM.from_pretrained("aparajitha/legpeg-sci-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from aparajitha/legpeg-sci-tr: direct link, hf CLI and curl.
- Browser
- Download file 275 Bytes
-
https://huggingface.co/aparajitha/legpeg-sci-tr/resolve/main/generation_config.json
- Command line
-
hf download hf://aparajitha/legpeg-sci-tr/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/aparajitha/legpeg-sci-tr/resolve/main/generation_config.json
275 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "forced_eos_token_id": 1, | |
| "length_penalty": 0.8, | |
| "max_length": 128, | |
| "min_length": 32, | |
| "num_beams": 8, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.44.2" | |
| } | |