Instructions to use voidful/changpt-bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/changpt-bart with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/changpt-bart") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/changpt-bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 347 Bytes
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"_from_model_config": true,
"bos_token_id": 101,
"decoder_start_token_id": 102,
"eos_token_id": 102,
"forced_eos_token_id": 102,
"no_repeat_ngram_size": 3,
"do_sample": true,
"top_k": 100,
"top_p": 0.95,
"typical_p": 0.95,
"temperature": 0.80,
"pad_token_id": 0,
"max_length": 256,
"transformers_version": "4.26.1"
}
|