Instructions to use NbAiLabArchive/test_NCC_OSCAR_style_98w with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/test_NCC_OSCAR_style_98w with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLabArchive/test_NCC_OSCAR_style_98w")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test_NCC_OSCAR_style_98w") model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test_NCC_OSCAR_style_98w") - Notebooks
- Google Colab
- Kaggle
script
Browse files
run_ncc_like_oscar_98w.py
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--logging_steps="500" \
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--save_steps="2500" \
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--eval_steps="2500" \
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--push_to_hub
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--logging_steps="500" \
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--save_steps="2500" \
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--eval_steps="2500" \
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--preprocessing_num_workers="98" \
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--adafactor \
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--push_to_hub
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