Instructions to use facebook/xmod-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xmod-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xmod-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xmod-base") model = AutoModelForMaskedLM.from_pretrained("facebook/xmod-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c5476540e5a09fe574b4e89c373d15ec963ecc2ec9697525de183bce6112cbc
- Size of remote file:
- 3.41 GB
- SHA256:
- 92baaaebc4fdd9888dba10d13187be424a922b5a062ad72b4eb5add4baee6292
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