Instructions to use franfj/DIPROMATS_subtask_2_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use franfj/DIPROMATS_subtask_2_v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="franfj/DIPROMATS_subtask_2_v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("franfj/DIPROMATS_subtask_2_v4") model = AutoModelForSequenceClassification.from_pretrained("franfj/DIPROMATS_subtask_2_v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (1e79ad2574c1a5dde30d6e0626f02e8ba98dc738) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>07239b3
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Upload tokenizer
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Upload RobertaForSequenceClassification
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initial commit
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