Instructions to use GautamR/akai_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GautamR/akai_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GautamR/akai_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GautamR/akai_ner") model = AutoModelForTokenClassification.from_pretrained("GautamR/akai_ner") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:0e74520b28e5a94ae543e678111d52e218655d770653d67bfe5dbe6133c12d9c
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size 265485396
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