Instructions to use omicseye/seqLens_65536_512_47M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omicseye/seqLens_65536_512_47M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omicseye/seqLens_65536_512_47M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("omicseye/seqLens_65536_512_47M") model = AutoModelForMaskedLM.from_pretrained("omicseye/seqLens_65536_512_47M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from omicseye/seqLens_65536_512_47M: direct link, hf CLI and curl.
- Browser
- Download file 2.99 MB
-
https://huggingface.co/omicseye/seqLens_65536_512_47M/resolve/main/tokenizer.json
- Command line
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hf download hf://omicseye/seqLens_65536_512_47M/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/omicseye/seqLens_65536_512_47M/resolve/main/tokenizer.json
2.99 MB
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