Instructions to use ACCORD-NLP/re-albert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACCORD-NLP/re-albert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ACCORD-NLP/re-albert-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ACCORD-NLP/re-albert-large") model = AutoModelForSequenceClassification.from_pretrained("ACCORD-NLP/re-albert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ACCORD-NLP/re-albert-large: direct link, hf CLI and curl.
- Browser
- Download file 133 MB
-
https://huggingface.co/ACCORD-NLP/re-albert-large/resolve/main/optimizer.pt
- Command line
-
hf download hf://ACCORD-NLP/re-albert-large/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ACCORD-NLP/re-albert-large/resolve/main/optimizer.pt
133 MB
- Xet hash:
- 6b3bdf6282e2142aefcb42ef6b6e54346895e24297987a643f16a45377eec64a
- Size of remote file:
- 133 MB
- SHA256:
- 08b2b8b1922f0a78ad21af68bce00894f1bc51ec4193da2c0b3b213f16661396
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