Instructions to use gArthur98/Distilbert-For-Capstone_WD_0.07 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gArthur98/Distilbert-For-Capstone_WD_0.07 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gArthur98/Distilbert-For-Capstone_WD_0.07")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gArthur98/Distilbert-For-Capstone_WD_0.07") model = AutoModelForSequenceClassification.from_pretrained("gArthur98/Distilbert-For-Capstone_WD_0.07", 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 sha256:1c1a83d489deef40225f4d88b1c496290a3079deb90385d8ba29652355cd6c8c
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size 267832560
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