Instructions to use ManojAlexender/Final_layer_LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManojAlexender/Final_layer_LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ManojAlexender/Final_layer_LM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ManojAlexender/Final_layer_LM") model = AutoModelForSequenceClassification.from_pretrained("ManojAlexender/Final_layer_LM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45db9a474bbe7a7568f024558febe2107a11ebef44408e994454b3e07b49bbba
- Size of remote file:
- 499 MB
- SHA256:
- 7c2ce8036ff5e291017bf4b5df5619f3af6d8cf9b48a4fdee8eb15c79a54010f
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