Instructions to use trhgquan/visobert-finetune-freezed-1337 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trhgquan/visobert-finetune-freezed-1337 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trhgquan/visobert-finetune-freezed-1337")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trhgquan/visobert-finetune-freezed-1337") model = AutoModelForSequenceClassification.from_pretrained("trhgquan/visobert-finetune-freezed-1337") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0268b7f6a3fd88eb64cf2592ba9e1488f86657bbd5ae6c3bd303fc7cbcd90083
- Size of remote file:
- 14.2 kB
- SHA256:
- 1f4cb73f483732d8aec3058b6904fd84354dbb9704d951ebb573d1b47d8c1098
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