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
File size: 134 Bytes
47b2f33 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7b3d2cb97ff9d138bdd99de6ce55cd05bf4691cb15f486d90f686eecf1d975ef
size 328719737
|