Instructions to use research-dump/distilroberta-base_temp_classifier_bootstrapped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/distilroberta-base_temp_classifier_bootstrapped with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/distilroberta-base_temp_classifier_bootstrapped")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/distilroberta-base_temp_classifier_bootstrapped") model = AutoModelForSequenceClassification.from_pretrained("research-dump/distilroberta-base_temp_classifier_bootstrapped", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82ea79728a42dbe2804ebdd6b597b9311b62dddad3c997fff57ee99c85bb8dde
- Size of remote file:
- 329 MB
- SHA256:
- 9977bc36b4e91b570777cf99df2185a9800c3953487285416ba5d97553242e92
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