Instructions to use StatsGary/bert-large-ner-wnut-17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StatsGary/bert-large-ner-wnut-17 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="StatsGary/bert-large-ner-wnut-17")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("StatsGary/bert-large-ner-wnut-17") model = AutoModelForTokenClassification.from_pretrained("StatsGary/bert-large-ner-wnut-17", device_map="auto") - 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 sha256:5cd26b2bff63928a390f4a7cbe8a3cddb897902156eeac20e797da1fcf947c2b
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size 1336473460
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