Instructions to use NimaKL/FireWatch_5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NimaKL/FireWatch_5k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NimaKL/FireWatch_5k")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NimaKL/FireWatch_5k") model = AutoModelForSequenceClassification.from_pretrained("NimaKL/FireWatch_5k") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7bb02458c013453d5dd46b21441916dd1433aadb075d3bb955cc78d825f4c81a
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size 437962836
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