Instructions to use SnappTask/encoder-queries-3epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SnappTask/encoder-queries-3epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SnappTask/encoder-queries-3epoch")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SnappTask/encoder-queries-3epoch") model = AutoModelForMaskedLM.from_pretrained("SnappTask/encoder-queries-3epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd4156ac1c15040d50f4077987b77f5fe8988cf75735d52ed7ebd6bbc2f3664d
- Size of remote file:
- 652 MB
- SHA256:
- fc04e0742d14cb4a52170ac91cef7d69b10495600879f2c01a298a707a6a5628
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