Instructions to use facebook/xmod-base-75-125k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xmod-base-75-125k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xmod-base-75-125k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xmod-base-75-125k") model = AutoModelForMaskedLM.from_pretrained("facebook/xmod-base-75-125k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a210b175c83411369e3f2e6b1b8be22635c2b10ed73f9ea4279152ba984b0708
- Size of remote file:
- 3.24 GB
- SHA256:
- 522594cccfb6dd7d8c084fc6d2070eb2b649c868eb26cb48f9e7b87bbec803e2
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