Instructions to use TigerHatKth/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TigerHatKth/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TigerHatKth/content")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TigerHatKth/content") model = AutoModelForSequenceClassification.from_pretrained("TigerHatKth/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_data/california_housing_train.csv from TigerHatKth/content: direct link, hf CLI and curl.
- Browser
- Download file 1.71 MB
-
https://huggingface.co/TigerHatKth/content/resolve/main/sample_data/california_housing_train.csv
- Command line
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hf download hf://TigerHatKth/content/sample_data/california_housing_train.csv
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curl -L -o california_housing_train.csv https://huggingface.co/TigerHatKth/content/resolve/main/sample_data/california_housing_train.csv
1.71 MB
File too large to display, you can check the raw version instead.