Instructions to use cestwc/roberta-base-bib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cestwc/roberta-base-bib with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cestwc/roberta-base-bib")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cestwc/roberta-base-bib") model = AutoModelForSequenceClassification.from_pretrained("cestwc/roberta-base-bib", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52df94ffcc803fee3363dee5bcf235f62828d20947d795dfbf9171c806f9e2e1
- Size of remote file:
- 499 MB
- SHA256:
- 5fdbf6fa18325c8f60a0420842002dac1bab3411006800436e6a5466a6898087
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