Instructions to use NimaKL/FireWatch_tiny_75k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NimaKL/FireWatch_tiny_75k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NimaKL/FireWatch_tiny_75k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NimaKL/FireWatch_tiny_75k") model = AutoModelForSequenceClassification.from_pretrained("NimaKL/FireWatch_tiny_75k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from NimaKL/FireWatch_tiny_75k: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/NimaKL/FireWatch_tiny_75k/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
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hf download hf://NimaKL/FireWatch_tiny_75k@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/NimaKL/FireWatch_tiny_75k/resolve/refs%2Fpr%2F2/tokenizer.json
711 kB
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