Instructions to use internetoftim/test-pth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internetoftim/test-pth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="internetoftim/test-pth")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("internetoftim/test-pth") model = AutoModelForSequenceClassification.from_pretrained("internetoftim/test-pth") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70d1bad8cbac0e4b49463fff53b326a68f54f25c5878911bc6697ed514cf9bbe
- Size of remote file:
- 499 MB
- SHA256:
- 28d0530f10fb2c42faf5a5739901f7b826a44aa9b2283964926ee416a73a0599
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