Instructions to use Gantenbein/ADDI-FR-XLM-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gantenbein/ADDI-FR-XLM-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Gantenbein/ADDI-FR-XLM-R")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Gantenbein/ADDI-FR-XLM-R") model = AutoModelForQuestionAnswering.from_pretrained("Gantenbein/ADDI-FR-XLM-R", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5e9fb1a95aad71b16ee2a76506d82b2a4c57cbd194c5e7e8c80d44689dccc06
- Size of remote file:
- 496 MB
- SHA256:
- fc0b693ab75887cf39fc3175c3609efd06ee8d974c3f3c0b8d1b6b16ded67c0e
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.