Instructions to use Ermira/al-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ermira/al-roberta 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="Ermira/al-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ermira/al-roberta") model = AutoModelForQuestionAnswering.from_pretrained("Ermira/al-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ermira/al-roberta: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Ermira/al-roberta/resolve/main/training_args.bin
- Command line
-
hf download hf://Ermira/al-roberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ermira/al-roberta/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- c68e0ea983af3942c80d837ac85dd359f201bcaf51f2d86b8e67df6e169e52de
- Size of remote file:
- 4.92 kB
- SHA256:
- 2498055a21fb9c6448b1c91554b1e11b22a5c9d895f95cf67901ad9d75b891eb
路
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