Instructions to use Qilex/opt-1.3b_text_classification_train_longer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qilex/opt-1.3b_text_classification_train_longer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Qilex/opt-1.3b_text_classification_train_longer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Qilex/opt-1.3b_text_classification_train_longer") model = AutoModelForSequenceClassification.from_pretrained("Qilex/opt-1.3b_text_classification_train_longer") - 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 sha256:6e6fd12285ae846eac19c08193b9af5169fa20905e42065887fcc989af793684
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size 5263102664
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