Instructions to use tceron/info-seek-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tceron/info-seek-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tceron/info-seek-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tceron/info-seek-classifier") model = AutoModelForSequenceClassification.from_pretrained("tceron/info-seek-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from tceron/info-seek-classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.58 GB
-
https://huggingface.co/tceron/info-seek-classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://tceron/info-seek-classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/tceron/info-seek-classifier/resolve/main/model.safetensors
1.58 GB
- Xet hash:
- 01cbfa41fa180125281d1a333e09b1c6d3130e794129b18a084fe9814a5649c4
- Size of remote file:
- 1.58 GB
- SHA256:
- 0648c73054c00d56dd2ee67a275dae3f753c7fff4bf09bb8727015bb699b9105
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