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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b03edf1255f0147e3b0f24f2cea7b30c390f7f25cd53da3da3b944bd73c41b45
- Size of remote file:
- 440 MB
- SHA256:
- 821a5d53771e44d2ad09c25b389023b9fdd22dccfcc9ae5eb4f04d47efc4eaf3
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