Fill-Mask
Transformers
PyTorch
Safetensors
English
bert
arXiv
astrophysics
conceptual analysis
epistemic change
high-energy physics (HEP)
history of science
semantic shift detection
sociology of science
philosophy of science
physics
word embeddings
Instructions to use arnosimons/astro-hep-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnosimons/astro-hep-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="arnosimons/astro-hep-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("arnosimons/astro-hep-bert") model = AutoModelForMaskedLM.from_pretrained("arnosimons/astro-hep-bert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by arnosimons - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:871287e3005132237b39dd1f69486d485c3851800c122cb090918038ab6d7fd2
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size 438081024
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