Instructions to use CoderCoy/NLP-PROJECT-NMU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoderCoy/NLP-PROJECT-NMU with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CoderCoy/NLP-PROJECT-NMU") model = AutoModelForSeq2SeqLM.from_pretrained("CoderCoy/NLP-PROJECT-NMU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 234 Bytes
aea0ef9 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_from_model_config": true,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"length_penalty": 0.6,
"max_length": 84,
"no_repeat_ngram_size": 2,
"num_beams": 4,
"pad_token_id": 0,
"transformers_version": "4.30.2"
}
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