Instructions to use Majed/internet2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Majed/internet2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Majed/internet2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Majed/internet2") model = AutoModelForSequenceClassification.from_pretrained("Majed/internet2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Majed/internet2: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Majed/internet2/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Majed/internet2@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Majed/internet2/resolve/refs%2Fpr%2F1/pytorch_model.bin
268 MB
- Xet hash:
- 0509dd3db0a5674e906f2dbf91ecdf01bfa65de6cb7ff784ac0527c675042778
- Size of remote file:
- 268 MB
- SHA256:
- b7b825a25bc81a2f2d4925f5247f7e393a067ae5022eebbfb43da90de87315f4
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