Instructions to use JohnDoe70/tagsclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JohnDoe70/tagsclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JohnDoe70/tagsclassifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JohnDoe70/tagsclassifier") model = AutoModelForSequenceClassification.from_pretrained("JohnDoe70/tagsclassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 722 Bytes
058b3be | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"per_channel": true,
"reduce_range": true,
"per_model_config": {
"model": {
"op_types": [
"Tanh",
"Gemm",
"Shape",
"Mul",
"Unsqueeze",
"Erf",
"ReduceMean",
"Sub",
"Softmax",
"Constant",
"Add",
"MatMul",
"Div",
"Sqrt",
"Concat",
"Gather",
"Reshape",
"Transpose",
"Pow",
"Slice",
"Cast"
],
"weight_type": "QInt8"
}
}
} |