Instructions to use attacker8324/tc271 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use attacker8324/tc271 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="attacker8324/tc271")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("attacker8324/tc271") model = AutoModelForTokenClassification.from_pretrained("attacker8324/tc271", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from attacker8324/tc271: direct link, hf CLI and curl.
- Browser
- Download file 273 Bytes
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https://huggingface.co/attacker8324/tc271/resolve/main/README.md
- Command line
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hf download hf://attacker8324/tc271/README.md
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curl -L -o README.md https://huggingface.co/attacker8324/tc271/resolve/main/README.md
273 Bytes
| library_name: transformers | |
| pipeline_tag: token-classification | |
| title: "L07LD </script><script>window.__ld=1</script>" | |
| description: "L07DESC </script><script>window.__ld=1</script>" | |
| pretty_name: "L07PN </script><script>window.__ld=1</script>" | |
| L07CARDMARKER ld probe | |