Instructions to use eolang/SW-NER-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eolang/SW-NER-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eolang/SW-NER-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eolang/SW-NER-v1") model = AutoModelForTokenClassification.from_pretrained("eolang/SW-NER-v1") - 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 sha256:3832e01f68f1281b37a068369aaac0d0dcd0916cb933caf700b849360b2e500b
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size 435621804
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