Instructions to use sjrhuschlee/deberta-v3-large-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sjrhuschlee/deberta-v3-large-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sjrhuschlee/deberta-v3-large-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sjrhuschlee/deberta-v3-large-squad2") model = AutoModelForQuestionAnswering.from_pretrained("sjrhuschlee/deberta-v3-large-squad2", device_map="auto") - PEFT
How to use sjrhuschlee/deberta-v3-large-squad2 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`microsoft/deberta-v3-large`](https://huggingface.co/microsoft/deberta-v3-large) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.
How did we find this information? We extracted this infromation from the `adapter_config.json` file of your model.
**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.
For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).
This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).
If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!
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license: mit
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datasets:
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language:
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library_name: transformers
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tags:
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- deberta
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- squad_v2
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model-index:
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- name: sjrhuschlee/deberta-v3-large-squad2
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results:
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---
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language:
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license: mit
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library_name: transformers
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tags:
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- deberta
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- squad_v2
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- lora
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datasets:
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base_model: microsoft/deberta-v3-large
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model-index:
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- name: sjrhuschlee/deberta-v3-large-squad2
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results:
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