Instructions to use FacebookAI/xlm-mlm-17-1280 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-mlm-17-1280 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-mlm-17-1280")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-mlm-17-1280") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-mlm-17-1280", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from FacebookAI/xlm-mlm-17-1280: direct link, hf CLI and curl.
- Browser
- Download file 1.14 GB
-
https://huggingface.co/FacebookAI/xlm-mlm-17-1280/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://FacebookAI/xlm-mlm-17-1280/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/FacebookAI/xlm-mlm-17-1280/resolve/main/pytorch_model.bin
1.14 GB
- Xet hash:
- f098de416afe822188af83833ccda2a9e4d4b9d10a46f5f620ae5dc871552d65
- Size of remote file:
- 1.14 GB
- SHA256:
- 100dda020f1d3d0129f43725f86c3932055c26fbd7645bf843f8ef392be16e8c
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