Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use BenWord/autotrain-APMv2Multiclass-1216046004 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenWord/autotrain-APMv2Multiclass-1216046004 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenWord/autotrain-APMv2Multiclass-1216046004")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenWord/autotrain-APMv2Multiclass-1216046004") model = AutoModelForSequenceClassification.from_pretrained("BenWord/autotrain-APMv2Multiclass-1216046004", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BenWord/autotrain-APMv2Multiclass-1216046004: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/BenWord/autotrain-APMv2Multiclass-1216046004/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BenWord/autotrain-APMv2Multiclass-1216046004/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BenWord/autotrain-APMv2Multiclass-1216046004/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- 8a6b7d3682db604c490786d89515a82f60bf1c3ac8c0ab0710c4a0f4578ab136
- Size of remote file:
- 1.34 GB
- SHA256:
- fd77fb4e46456729a4a181d448c4b1948b184a417a5f51d55a49e3c66f90f468
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