Text Classification
Transformers
Safetensors
English
roberta
naics
industry-classification
github
text-embeddings-inference
Instructions to use aquiro1994/naics-github-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aquiro1994/naics-github-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aquiro1994/naics-github-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aquiro1994/naics-github-classifier") model = AutoModelForSequenceClassification.from_pretrained("aquiro1994/naics-github-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6e6ba4c9b0787dcec0b17151f8cb2bdfdaf34b7da0d178ebcb3540ab511a37e
- Size of remote file:
- 1.42 GB
- SHA256:
- f5e32c1086e41adfefdee2f2508020812031b58edb184d3133511b109f6c746d
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