Instructions to use adit94/subject_clf1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adit94/subject_clf1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adit94/subject_clf1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adit94/subject_clf1") model = AutoModelForSequenceClassification.from_pretrained("adit94/subject_clf1", 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 sha256:47d8c08711a7b474e501d3ed1e4c93a7b5ab41578e4df19aa8b7469c1baeed66
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size 437975136
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