Instructions to use Gantenbein/ADDI-IT-XLM-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gantenbein/ADDI-IT-XLM-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Gantenbein/ADDI-IT-XLM-R")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Gantenbein/ADDI-IT-XLM-R") model = AutoModelForQuestionAnswering.from_pretrained("Gantenbein/ADDI-IT-XLM-R", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdfd9f9860ee0fb76b21cfd5e7fa836921e6d62c819b27124ea2896070fdb3e6
- Size of remote file:
- 2.35 kB
- SHA256:
- 6e7a0ae8e029201305c62418f615d78922c0ed7745f32794d5e2fb49c9237163
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