Instructions to use FacebookAI/xlm-mlm-100-1280 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-mlm-100-1280 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-mlm-100-1280")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-mlm-100-1280") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-mlm-100-1280") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 924adefc21af065f5ef9b142457a4179105901e71eee3fc5fb761be97e4fe3e5
- Size of remote file:
- 1.14 GB
- SHA256:
- 65327c0062f7056db1af011738a30da9d743ce1d16507071e4c19edf5802b0a1
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