Instructions to use iamholmes/first-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamholmes/first-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iamholmes/first-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iamholmes/first-model") model = AutoModelForSequenceClassification.from_pretrained("iamholmes/first-model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
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- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c98bf96d58d0b67b6302fa5001243e7f34c6ff0b0db85a08eda27e792f83708e
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size 437962832
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