Instructions to use Kyrmasch/xml-roberta-model-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kyrmasch/xml-roberta-model-qa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Kyrmasch/xml-roberta-model-qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kyrmasch/xml-roberta-model-qa") model = AutoModelForQuestionAnswering.from_pretrained("Kyrmasch/xml-roberta-model-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Kyrmasch/xml-roberta-model-qa: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Kyrmasch/xml-roberta-model-qa/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://Kyrmasch/xml-roberta-model-qa@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Kyrmasch/xml-roberta-model-qa/resolve/refs%2Fpr%2F2/tokenizer.json
17.1 MB
- Xet hash:
- 9a2a6af9c918305729186f8ad7cbec7f192e2271e0297609d2d7399cad68ffc7
- Size of remote file:
- 17.1 MB
- SHA256:
- 167066c03829058ec15ff5404e54585316251e89eec3f758bced173717de5322
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