Instructions to use terhdavid/test-train-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use terhdavid/test-train-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="terhdavid/test-train-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("terhdavid/test-train-model") model = AutoModelForTokenClassification.from_pretrained("terhdavid/test-train-model") - 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 sha256:9b9c8722c4a2a18c99ca69d268b15b162b1b08403550f25927c5ee22eca5f2ab
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size 265491548
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