Instructions to use bdoohan-goog/dummy-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bdoohan-goog/dummy-model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bdoohan-goog/dummy-model2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bdoohan-goog/dummy-model2") model = AutoModelForSequenceClassification.from_pretrained("bdoohan-goog/dummy-model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bdoohan-goog/dummy-model2: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/bdoohan-goog/dummy-model2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bdoohan-goog/dummy-model2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bdoohan-goog/dummy-model2/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 4a7d6b6415ded963a5b58eb6471fdb3150bfb5c63af6f305fdaed1e38533d491
- Size of remote file:
- 438 MB
- SHA256:
- 2207656c048854b5337dcbe3958bf7ef9d59d547ad5545c0f0ee7ad7f0b8f481
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