Instructions to use Nonegom/roberta_curriculum_learn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nonegom/roberta_curriculum_learn 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="Nonegom/roberta_curriculum_learn")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Nonegom/roberta_curriculum_learn") model = AutoModelForQuestionAnswering.from_pretrained("Nonegom/roberta_curriculum_learn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Nonegom/roberta_curriculum_learn: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/Nonegom/roberta_curriculum_learn/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Nonegom/roberta_curriculum_learn/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Nonegom/roberta_curriculum_learn/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- cb9d4e420cfecea42010aa3668485ca754a8f4234f2c5d7e4621e7f1f090323f
- Size of remote file:
- 1.34 GB
- SHA256:
- ff52e409c22487f3edd0c9a62dca51ba329f8266975846384710b31a323c4cf6
路
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