Instructions to use pbeyens/my_dataset-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pbeyens/my_dataset-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pbeyens/my_dataset-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pbeyens/my_dataset-model") model = AutoModelForTokenClassification.from_pretrained("pbeyens/my_dataset-model", 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 sha256:6a87c85fc3360a2d28c996fecee0d2fec62a27f8439ed2c1923edc972cbb3b94
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size 520982880
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