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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7b575d3b24fcf40a06385fdb92930eab8ff122ef7f44225d7a12a345465bfdc
- Size of remote file:
- 5.37 kB
- SHA256:
- 949013d1d9e5be1183f5181e088b43d0a72e7ca725133c5246365255e30d2a04
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.