Instructions to use cointegrated/roberta-large-cola-krishna2020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cointegrated/roberta-large-cola-krishna2020 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cointegrated/roberta-large-cola-krishna2020")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cointegrated/roberta-large-cola-krishna2020") model = AutoModelForSequenceClassification.from_pretrained("cointegrated/roberta-large-cola-krishna2020", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9eac32039a2f5d0ac3d7918ecdad419cbae4a40565133264cc66b3d8a189addd
- Size of remote file:
- 1.42 GB
- SHA256:
- 149ae8766c5b5d04c6390a00b7b59828c5a525ec0ba8422f9b48961375ec8cda
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