Instructions to use kSaluja/new-test-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kSaluja/new-test-model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kSaluja/new-test-model2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kSaluja/new-test-model2") model = AutoModelForTokenClassification.from_pretrained("kSaluja/new-test-model2") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1
by librarian-bot - opened
README.md
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@@ -7,6 +7,7 @@ metrics:
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- recall
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- f1
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- accuracy
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model-index:
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- name: new-test-model2
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results: []
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- recall
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- f1
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- accuracy
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base_model: bert-large-uncased
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model-index:
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- name: new-test-model2
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results: []
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