Instructions to use shafin/testc8-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shafin/testc8-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shafin/testc8-2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shafin/testc8-2") model = AutoModelForMaskedLM.from_pretrained("shafin/testc8-2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:3acc49e51bb2e94bc8292fc1077f290fb57b95f6e7f49e2edfe1b6416f80076d
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size 439832376
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