Instructions to use apjanco/sr_roberta_oscar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apjanco/sr_roberta_oscar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="apjanco/sr_roberta_oscar")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("apjanco/sr_roberta_oscar") model = AutoModelForMaskedLM.from_pretrained("apjanco/sr_roberta_oscar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9456f67856e0e70357477f84ad0fc9138467bf32b3841456756ef324daa9714b
- Size of remote file:
- 499 MB
- SHA256:
- 50481d1c48f88f00b9cd220d7d29656202e78866b502850a7cc7b1405c935b0c
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