Instructions to use debela-arg/concept-extraction-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debela-arg/concept-extraction-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="debela-arg/concept-extraction-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("debela-arg/concept-extraction-bert") model = AutoModelForTokenClassification.from_pretrained("debela-arg/concept-extraction-bert") - 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 sha256:5b69f1074b595db1bbe5b34b9b932be8d63e5c003c926368d0320ba4cbc0d58c
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size 435631040
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