Instructions to use JennnDexter/mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JennnDexter/mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JennnDexter/mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JennnDexter/mlm") model = AutoModelForMaskedLM.from_pretrained("JennnDexter/mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dec0cf524dc80c084a730ed5b8f2d413990164c652f157298a68923eb3b78e9
- Size of remote file:
- 4.16 kB
- SHA256:
- c509f4e1f0e5bf9214358c499a80c3b628323f7ba2532c3af4841e8a6ea54046
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