Instructions to use facebook/xlm-v-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xlm-v-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xlm-v-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xlm-v-base") model = AutoModelForMaskedLM.from_pretrained("facebook/xlm-v-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d01e4258710a17cb01346e6f779de3f171fc9acea2bad1a8d3228c8a65857d0
- Size of remote file:
- 61.4 MB
- SHA256:
- 43f949ef0c0b1ac18c506551109383d4a8a2bd48956ced0cc95cfd9120d42dca
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