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:
- e28da76c7a72724078dd0f5c37c1d3002775ed6c59403bedcd1258570b46cb1b
- Size of remote file:
- 5.37 kB
- SHA256:
- 0f7a9fbe6e1db43acabd51723c74efa160ee1c510b0dd12322c37ce467f5b4ec
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