Instructions to use EndLessTime/fine_tuned_wp_callback10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_wp_callback10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_wp_callback10")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_wp_callback10") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_wp_callback10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from EndLessTime/fine_tuned_wp_callback10: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/EndLessTime/fine_tuned_wp_callback10/resolve/main/tokenizer.json
- Command line
-
hf download hf://EndLessTime/fine_tuned_wp_callback10/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/EndLessTime/fine_tuned_wp_callback10/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 937ecb8825adedc2ff3a9eaea1320ebf4402cb76e36813f17e6524dcda2f7620
- Size of remote file:
- 11.4 MB
- SHA256:
- f5ae291beb14c5986404b36fdaabbcf3cb858121c6239ffbec6c1405cbafd9dc
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