Instructions to use Gantenbein/ADDI-CH-XLM-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gantenbein/ADDI-CH-XLM-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Gantenbein/ADDI-CH-XLM-R")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Gantenbein/ADDI-CH-XLM-R") model = AutoModelForQuestionAnswering.from_pretrained("Gantenbein/ADDI-CH-XLM-R", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae3b4e911edc1e446ae394b72ce513e51b6f332b6a5205111e676e2cd3efc4ef
- Size of remote file:
- 2.29 kB
- SHA256:
- 3982c327d454b9125813c818afe9bac4e2b6410c04d8a9415cc10500508a8f42
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