Instructions to use faaany/bert-base-uncased-float32-traced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faaany/bert-base-uncased-float32-traced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="faaany/bert-base-uncased-float32-traced")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("faaany/bert-base-uncased-float32-traced") model = AutoModelForMaskedLM.from_pretrained("faaany/bert-base-uncased-float32-traced") - Notebooks
- Google Colab
- Kaggle
Fanli Lin commited on
Upload traced_bert.pt
Browse files- traced_bert.pt +3 -0
traced_bert.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5a471196b92cd2edce0426469ad1fbacad309d68291da8cce7fd75640811d83d
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size 127401984
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