Instructions to use rosadecsai/BASE_BASE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rosadecsai/BASE_BASE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, MultiTask_LED tokenizer = AutoTokenizer.from_pretrained("rosadecsai/BASE_BASE") model = MultiTask_LED.from_pretrained("rosadecsai/BASE_BASE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from rosadecsai/BASE_BASE: direct link, hf CLI and curl.
- Browser
- Download file 303 Bytes
-
https://huggingface.co/rosadecsai/BASE_BASE/resolve/main/generation_config.json
- Command line
-
hf download hf://rosadecsai/BASE_BASE/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/rosadecsai/BASE_BASE/resolve/main/generation_config.json
303 Bytes
| { | |
| "bos_token_id": 0, | |
| "early_stopping": true, | |
| "eos_token_id": 2, | |
| "is_encoder_decoder": true, | |
| "length_penalty": 2.0, | |
| "max_length": 1024, | |
| "max_new_tokens": 1024, | |
| "min_new_tokens": 100, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.48.3" | |
| } | |