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:
- 768e8f7ac086c1c38218776c942fbadbd1ae2c38b8ddc48d0360bc80cd004449
- Size of remote file:
- 2.35 kB
- SHA256:
- 0e6ebda75da2ad29a2b71486bb5e04c52a0cc6269cd7feeab16905c98087e52b
路
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