Instructions to use AIEngineerYvar/bart_pubmed_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIEngineerYvar/bart_pubmed_dataset with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AIEngineerYvar/bart_pubmed_dataset") model = AutoModelForSeq2SeqLM.from_pretrained("AIEngineerYvar/bart_pubmed_dataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from AIEngineerYvar/bart_pubmed_dataset: direct link, hf CLI and curl.
- Browser
- Download file 358 Bytes
-
https://huggingface.co/AIEngineerYvar/bart_pubmed_dataset/resolve/main/generation_config.json
- Command line
-
hf download hf://AIEngineerYvar/bart_pubmed_dataset/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/AIEngineerYvar/bart_pubmed_dataset/resolve/main/generation_config.json
358 Bytes
| { | |
| "_from_model_config": true, | |
| "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": 4, | |
| "num_beams": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.55.2" | |
| } | |