Instructions to use trhgquan/visobert-human-finetune-seg-seed-1337 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trhgquan/visobert-human-finetune-seg-seed-1337 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trhgquan/visobert-human-finetune-seg-seed-1337")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trhgquan/visobert-human-finetune-seg-seed-1337") model = AutoModelForSequenceClassification.from_pretrained("trhgquan/visobert-human-finetune-seg-seed-1337") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 621da1d613e7bf84db1f498f95dbfca0a7a77850a5aa11e9b7830e8404a4f7cc
- Size of remote file:
- 390 MB
- SHA256:
- b205a9886881fdaa8735f75d42434c1119ff278da9d6ff7f94fef6b6a4cdcc82
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