Instructions to use Risk540AI/InitialModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Risk540AI/InitialModels 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="Risk540AI/InitialModels")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Risk540AI/InitialModels") model = AutoModelForCausalLM.from_pretrained("Risk540AI/InitialModels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Risk540AI/InitialModels: direct link, hf CLI and curl.
- Browser
- Download file 419 Bytes
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https://huggingface.co/Risk540AI/InitialModels/resolve/main/README.md
- Command line
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hf download hf://Risk540AI/InitialModels/README.md
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curl -L -o README.md https://huggingface.co/Risk540AI/InitialModels/resolve/main/README.md
419 Bytes
metadata
license: mit
language:
- en
pipeline_tag: question-answering
Our new LLM model
We are excited to announce the release of our new large language model (LLM), which is now available on huggingface. Our LLM is a powerful tool that can be used for a variety of tasks, including generating text, translating languages, writing different kinds of creative content, and answering your questions in an informative way.