Instructions to use HeNLP/LongHeRo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HeNLP/LongHeRo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HeNLP/LongHeRo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HeNLP/LongHeRo") model = AutoModelForMaskedLM.from_pretrained("HeNLP/LongHeRo") - Notebooks
- Google Colab
- Kaggle
Commit ·
d4ae5f6
1
Parent(s): 097064f
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (7c4a6a3e7cde560383b43540aaafd30e8a955980)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02fa7ad0d042d78ca6cfb96cf2d1cec5222a1f11cd5c9d1c7c0a5040a1d33ee1
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size 594882382
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