Instructions to use zentavious/trial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zentavious/trial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="zentavious/trial")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("zentavious/trial") model = AutoModelForTokenClassification.from_pretrained("zentavious/trial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zentavious/trial: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
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https://huggingface.co/zentavious/trial/resolve/main/tokenizer.json
- Command line
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hf download hf://zentavious/trial/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/zentavious/trial/resolve/main/tokenizer.json
8.66 MB
File too large to display, you can check the raw version instead.