Instructions to use muhtasham/small-mlm-squad-custom-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/small-mlm-squad-custom-tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="muhtasham/small-mlm-squad-custom-tokenizer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("muhtasham/small-mlm-squad-custom-tokenizer") model = AutoModelForMaskedLM.from_pretrained("muhtasham/small-mlm-squad-custom-tokenizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e7b07d01c7a6b9444eaa94c8ca7b2af1af531c9da359c2382db4ac2cf0c2b77
- Size of remote file:
- 3.58 kB
- SHA256:
- d78562e0b0f7c15f166f5405315a4839ad9a23d87aaa3926e1dfd0a54ebc36c3
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