Instructions to use research-dump/distilroberta-base_temp_classifier 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/distilroberta-base_temp_classifier") model = AutoModelForSequenceClassification.from_pretrained("research-dump/distilroberta-base_temp_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 832213b431d9ac1f1ed4a097100d7257920404c3b3329f31cd6424928f5ab3cc
- Size of remote file:
- 329 MB
- SHA256:
- 13d1025971cab841d296d0e18015f21ef4fbf923a7a7e2790ba5a27d31d92d25
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