Instructions to use fffffly/roberta_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fffffly/roberta_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fffffly/roberta_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fffffly/roberta_model") model = AutoModelForSequenceClassification.from_pretrained("fffffly/roberta_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
Browse files
pytorch_model.bin
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runs/Jun05_23-08-33_799540303c9c/events.out.tfevents.1686006636.799540303c9c.375.0
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