Instructions to use Evelyn18/roberta-base-bne-ROBERTaBECAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evelyn18/roberta-base-bne-ROBERTaBECAS 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="Evelyn18/roberta-base-bne-ROBERTaBECAS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Evelyn18/roberta-base-bne-ROBERTaBECAS") model = AutoModelForQuestionAnswering.from_pretrained("Evelyn18/roberta-base-bne-ROBERTaBECAS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Evelyn18/roberta-base-bne-ROBERTaBECAS: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/Evelyn18/roberta-base-bne-ROBERTaBECAS/resolve/main/training_args.bin
- Command line
-
hf download hf://Evelyn18/roberta-base-bne-ROBERTaBECAS/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Evelyn18/roberta-base-bne-ROBERTaBECAS/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- d282b5a0d56550dc7542564c882f56ce76b4b2f082c22ce1db2342141ce85a31
- Size of remote file:
- 3.38 kB
- SHA256:
- f12a205f60e36832661f965c2c4f4dd50544fbca6aaaedc83ed94466ad327fe3
路
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