Instructions to use antolin/distilroberta-base-csn-python-bimodal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antolin/distilroberta-base-csn-python-bimodal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="antolin/distilroberta-base-csn-python-bimodal")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("antolin/distilroberta-base-csn-python-bimodal") model = AutoModelForMaskedLM.from_pretrained("antolin/distilroberta-base-csn-python-bimodal") - 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:c7d5d400bb90d9011c5e2e3a2d96b61e6652c6f3179c614e51f4633c333c5526
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size 328697604
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