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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fffffly/roberta_model") model = AutoModelForSequenceClassification.from_pretrained("fffffly/roberta_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97a0cc048ed3ee5ec67f27feda18edac502728ca9158b297efff8542bcbe36e0
- Size of remote file:
- 499 MB
- SHA256:
- 8420a8c08a0547a56b8cf2dbf9f4e38426bda193058f8fbedad8bd219d00dcc9
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