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:
- 1e15be2f907033d3ddb533ba6ba3a5c9239d3cea1f2631a0b064541e92103af2
- Size of remote file:
- 1.11 GB
- SHA256:
- 168d04b8498547b1894465057675cc4d839ddd777f6df71b291bceef7abeeb6b
路
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