Instructions to use marcchew/testv4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcchew/testv4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcchew/testv4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcchew/testv4") model = AutoModelForSequenceClassification.from_pretrained("marcchew/testv4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4
Browse files- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
config.json
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"DebertaV2ForSequenceClassification"
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"_name_or_path": "marcchew/testv3",
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"DebertaV2ForSequenceClassification"
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model.safetensors
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training_args.bin
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