Instructions to use SkyR/albert-base-ours-run-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkyR/albert-base-ours-run-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkyR/albert-base-ours-run-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SkyR/albert-base-ours-run-3") model = AutoModelForSequenceClassification.from_pretrained("SkyR/albert-base-ours-run-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SkyR/albert-base-ours-run-3: direct link, hf CLI and curl.
- Browser
- Download file 46.8 MB
-
https://huggingface.co/SkyR/albert-base-ours-run-3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SkyR/albert-base-ours-run-3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SkyR/albert-base-ours-run-3/resolve/main/pytorch_model.bin
46.8 MB
- Xet hash:
- 0b40f6b27f8e057e204281c74f661660efa88f788d5049f503e8652b5edd1e7b
- Size of remote file:
- 46.8 MB
- SHA256:
- ed61f841fe54563b0dd6a544904bd8f1814964527e6a079386b578aca8e1b6fe
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