Instructions to use aiface/xlm-roberta-base_massive_crf_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiface/xlm-roberta-base_massive_crf_v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aiface/xlm-roberta-base_massive_crf_v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4408a8a299fb5a0a90fd04d8bd798fce63c2047d40e699638ab33452ec3e58b0
- Size of remote file:
- 5.97 kB
- SHA256:
- 16fb9cac6145b144fd462e24aa75ee42a4257579910571a2da86a2d92a3fd84f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.