Instructions to use OpenSemShift/bert-c1-en-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenSemShift/bert-c1-en-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="OpenSemShift/bert-c1-en-only")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("OpenSemShift/bert-c1-en-only") model = AutoModelForMaskedLM.from_pretrained("OpenSemShift/bert-c1-en-only") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:88c93950f99b86f4e631b2049e0e2a30a0c48cd94565510ac5bf34fd8fb33339
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size 714284492
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