Instructions to use egozi/stam_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egozi/stam_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="egozi/stam_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("egozi/stam_model") model = AutoModelForMaskedLM.from_pretrained("egozi/stam_model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c4835be054b6d3ca451fac1b4a57a906e869c6f48fd101887f94fe8aa805f339
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size 442646292
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