Instructions to use NaturalAntibody/nanoBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NaturalAntibody/nanoBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NaturalAntibody/nanoBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NaturalAntibody/nanoBERT") model = AutoModelForMaskedLM.from_pretrained("NaturalAntibody/nanoBERT", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download training_args.bin from NaturalAntibody/nanoBERT: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/NaturalAntibody/nanoBERT/resolve/main/training_args.bin
- Command line
-
hf download hf://NaturalAntibody/nanoBERT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NaturalAntibody/nanoBERT/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 5d5db59fdc90fe3ebd732320790f1d3ab61c49133445108b13b3dffe03787b6e
- Size of remote file:
- 4.6 kB
- SHA256:
- 52cfee9909bae69ef99be6ff3749cceaf5f5a35741ce1b069ebf8f2caea16cef
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