Instructions to use iElexperio/llmv3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iElexperio/llmv3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="iElexperio/llmv3-base")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("iElexperio/llmv3-base") model = AutoModelForTokenClassification.from_pretrained("iElexperio/llmv3-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fde27928e4da6935f4c76d97aa37bb274ca65ba6bf31643d9a8e29e62b1d7008
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size 503807336
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