Instructions to use cestwc/roberta-base-seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cestwc/roberta-base-seq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cestwc/roberta-base-seq")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cestwc/roberta-base-seq") model = AutoModelForMaskedLM.from_pretrained("cestwc/roberta-base-seq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a625d93fbcc2ee8cc5be2885560e65ceeff96134564eaedacc075c6f02c7a78
- Size of remote file:
- 499 MB
- SHA256:
- 242d3ed8304ef903cd98dd793d3aac592dc86667cf61759dd0722d5d40ccfb32
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