Instructions to use Akhil0-o/saved_model_links with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akhil0-o/saved_model_links with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Akhil0-o/saved_model_links")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Akhil0-o/saved_model_links") model = AutoModelForSequenceClassification.from_pretrained("Akhil0-o/saved_model_links", 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 sha256:1b2c5676d36e509d9ecead405f200afff61ed8c726a81d40ecc3b9f969d26b5b
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size 498617024
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