Instructions to use linktimecloud/my_awesome_model_classification_w_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linktimecloud/my_awesome_model_classification_w_adapter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="linktimecloud/my_awesome_model_classification_w_adapter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("linktimecloud/my_awesome_model_classification_w_adapter") model = AutoModelForSequenceClassification.from_pretrained("linktimecloud/my_awesome_model_classification_w_adapter") - 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 sha256:33aa15fa323a973c794a6803401ae91388395f373128c8d85ea5feb659a761e7
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size 502201592
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