Instructions to use WionaGlaenzer/human_mouse_1M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WionaGlaenzer/human_mouse_1M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WionaGlaenzer/human_mouse_1M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WionaGlaenzer/human_mouse_1M") model = AutoModelForMaskedLM.from_pretrained("WionaGlaenzer/human_mouse_1M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa90dde1e4f198aaa4d942774d907a2f59287aba8d860d9fe1a7f3f44618e30a
- Size of remote file:
- 3.06 kB
- SHA256:
- 2bb21d923f43a4ec2bd8ef78cab408aadf20c01826fdd1d57e03a83fb4a19bed
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