Instructions to use jmzk96/PCSciBERT_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmzk96/PCSciBERT_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jmzk96/PCSciBERT_uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jmzk96/PCSciBERT_uncased") model = AutoModelForMaskedLM.from_pretrained("jmzk96/PCSciBERT_uncased") - Notebooks
- Google Colab
- Kaggle
Commit ·
e6c2adf
1
Parent(s): c340fd5
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (4b910c9b76f76d5f4f5549c75790e8b78da67f90)
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 sha256:973dc1846ec855b2886454c4d128260b70bab3fba2fc6149d19d7f5583511884
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size 439832248
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