Instructions to use eventdata-utd/conflibert-satp-multilabel-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eventdata-utd/conflibert-satp-multilabel-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eventdata-utd/conflibert-satp-multilabel-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eventdata-utd/conflibert-satp-multilabel-classification") model = AutoModelForTokenClassification.from_pretrained("eventdata-utd/conflibert-satp-multilabel-classification") - 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 sha256:33331ff78f4d7657669dbd273e4fc6d1bddf1666b197c790c8f47723234a8620
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size 434002840
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