Instructions to use facebook/xmod-base-75-269k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xmod-base-75-269k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xmod-base-75-269k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xmod-base-75-269k") model = AutoModelForMaskedLM.from_pretrained("facebook/xmod-base-75-269k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0abf83cea1456e2b5ba14c57ead776efc4a189363a677680da0bbda562c99dbc
- Size of remote file:
- 3.24 GB
- SHA256:
- e7e307b707eda6deeaf7c7f92de6612d5079db87e921559bdfc8656165f7e8df
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