Instructions to use Shana4/XLNet_2E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shana4/XLNet_2E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shana4/XLNet_2E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shana4/XLNet_2E") model = AutoModelForSequenceClassification.from_pretrained("Shana4/XLNet_2E", 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 sha256:85f9c0ae59e0d8075e15afa0dcfbf3003f521f37fb617d319f33e1d7fdd6c3d4
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size 469264592
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