Instructions to use harinib/model_los_removing_layer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harinib/model_los_removing_layer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harinib/model_los_removing_layer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harinib/model_los_removing_layer") model = AutoModelForSequenceClassification.from_pretrained("harinib/model_los_removing_layer") - 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 sha256:9d618d740ce2fe7cac210cf7464522c4b2c02863e7a45d6a358c121f222af3bc
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size 267838720
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