Instructions to use krisGPT/student-tinybert-4layer-msra-ner_f1_76 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krisGPT/student-tinybert-4layer-msra-ner_f1_76 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="krisGPT/student-tinybert-4layer-msra-ner_f1_76")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("krisGPT/student-tinybert-4layer-msra-ner_f1_76") model = AutoModelForTokenClassification.from_pretrained("krisGPT/student-tinybert-4layer-msra-ner_f1_76", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:c5d7d9e95331e478c9458a8bcec094baf205182f5db472fe37cea2e69082d6bd
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size 179926060
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