Instructions to use dell-research-harvard/wire-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dell-research-harvard/wire-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dell-research-harvard/wire-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dell-research-harvard/wire-classifier") model = AutoModelForSequenceClassification.from_pretrained("dell-research-harvard/wire-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dell-research-harvard/wire-classifier: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/dell-research-harvard/wire-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dell-research-harvard/wire-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dell-research-harvard/wire-classifier/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- 60a2be658c0a6159e90e4624e2d90d60fca1ad8598c134ccf7a037471c0f4443
- Size of remote file:
- 329 MB
- SHA256:
- 4d8edf96dba7803f86313508b0258092a2e90755c9ac1b501d8e5d3a20e1eac7
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