Instructions to use sultan/BioM-ALBERT-xxlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/BioM-ALBERT-xxlarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sultan/BioM-ALBERT-xxlarge")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sultan/BioM-ALBERT-xxlarge") model = AutoModelForMaskedLM.from_pretrained("sultan/BioM-ALBERT-xxlarge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sultan/BioM-ALBERT-xxlarge: direct link, hf CLI and curl.
- Browser
- Download file 893 MB
-
https://huggingface.co/sultan/BioM-ALBERT-xxlarge/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://sultan/BioM-ALBERT-xxlarge@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sultan/BioM-ALBERT-xxlarge/resolve/refs%2Fpr%2F1/pytorch_model.bin
893 MB
- Xet hash:
- c5743ef1f201fb42874677829b202ff70af8100b92b1fe8e51ace23ac3795ef6
- Size of remote file:
- 893 MB
- SHA256:
- c3a16f57db156445b74dd2b36136d554780193b31b9609c8091de64cab12f7db
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