Instructions to use KM4STfulltext/CSSCI_ABS_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KM4STfulltext/CSSCI_ABS_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KM4STfulltext/CSSCI_ABS_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KM4STfulltext/CSSCI_ABS_roberta") model = AutoModelForMaskedLM.from_pretrained("KM4STfulltext/CSSCI_ABS_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce87f762a62b5a9e95b58452c38cfc4e3d12ceb17111d7812f1cd243448aae52
- Size of remote file:
- 409 MB
- SHA256:
- 8e04a1a969d8ecfaf455d0f82fe9b5b03aab27440c9b6f1db5927eec907246c6
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