Instructions to use a98zhang/finetuned_annotation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a98zhang/finetuned_annotation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="a98zhang/finetuned_annotation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("a98zhang/finetuned_annotation") model = AutoModelForSequenceClassification.from_pretrained("a98zhang/finetuned_annotation", 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 sha256:2e8018df78a42a67137d6a422cd3a7d26b23cfe0188b4712d7284abb583bfc8e
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size 1421511808
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