Instructions to use summerdevlin46/glot500-multi-ca-fr-sp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summerdevlin46/glot500-multi-ca-fr-sp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="summerdevlin46/glot500-multi-ca-fr-sp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("summerdevlin46/glot500-multi-ca-fr-sp") model = AutoModelForTokenClassification.from_pretrained("summerdevlin46/glot500-multi-ca-fr-sp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d86fba7329fa6d61c5395e30f7134eaf0db0e72e27e00e8c3448242c933c1951
- Size of remote file:
- 26.9 MB
- SHA256:
- db2eadcc9c4d85bc62828f79f5b3cc05c409d958a1ed506f2835e1d38165e7fe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.