Instructions to use circlemachinelearning/bart-email-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circlemachinelearning/bart-email-multitask with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("circlemachinelearning/bart-email-multitask") model = AutoModelForSeq2SeqLM.from_pretrained("circlemachinelearning/bart-email-multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/generation_config.json from circlemachinelearning/bart-email-multitask: direct link, hf CLI and curl.
- Browser
- Download file 338 Bytes
-
https://huggingface.co/circlemachinelearning/bart-email-multitask/resolve/main/last-checkpoint/generation_config.json
- Command line
-
hf download hf://circlemachinelearning/bart-email-multitask/last-checkpoint/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/circlemachinelearning/bart-email-multitask/resolve/main/last-checkpoint/generation_config.json
338 Bytes
| { | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "early_stopping": true, | |
| "eos_token_id": [ | |
| 2 | |
| ], | |
| "forced_bos_token_id": 0, | |
| "forced_eos_token_id": 2, | |
| "length_penalty": 2.0, | |
| "max_length": 142, | |
| "min_length": 56, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.57.5" | |
| } | |