Instructions to use NbAiLabArchive/test_NCC_small_flax_stream with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/test_NCC_small_flax_stream with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLabArchive/test_NCC_small_flax_stream")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test_NCC_small_flax_stream") model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test_NCC_small_flax_stream") - Notebooks
- Google Colab
- Kaggle
restart with fewer workers
Browse files- run_flax_stream.sh +0 -1
run_flax_stream.sh
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--logging_steps="5000" \
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--save_steps="5000" \
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--eval_steps="5000" \
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--preprocessing_num_workers 96 \
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--adafactor \
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--push_to_hub
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--logging_steps="5000" \
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--save_steps="5000" \
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--eval_steps="5000" \
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--adafactor \
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--push_to_hub
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