Instructions to use InriaValda/roberta_from_scratch_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InriaValda/roberta_from_scratch_ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="InriaValda/roberta_from_scratch_ft")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("InriaValda/roberta_from_scratch_ft") model = AutoModelForSequenceClassification.from_pretrained("InriaValda/roberta_from_scratch_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1aa1b7311af2ee066225bc4826868bf5cc628e9dc0c8e61881d0165a5935630a
- Size of remote file:
- 499 MB
- SHA256:
- ba4dc6076a1c9e5a16b488b227298615b747772b15512c7be8a87eda7d5ec5ba
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