Instructions to use research-dump/roberta_large_temp_classifier_bootstrapped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/roberta_large_temp_classifier_bootstrapped with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/roberta_large_temp_classifier_bootstrapped")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/roberta_large_temp_classifier_bootstrapped") model = AutoModelForSequenceClassification.from_pretrained("research-dump/roberta_large_temp_classifier_bootstrapped") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c2ee107
Upload RobertaForSequenceClassification
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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