Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Instructions to use omneu/bert_model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omneu/bert_model_out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="omneu/bert_model_out")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("omneu/bert_model_out") model = AutoModelForSequenceClassification.from_pretrained("omneu/bert_model_out", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from omneu/bert_model_out: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/omneu/bert_model_out/resolve/main/training_args.bin
- Command line
-
hf download hf://omneu/bert_model_out/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/omneu/bert_model_out/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- e903338b9c0aa6857f574316744335156604f57bfcba333ae4cfb26bf9d96dbc
- Size of remote file:
- 5.37 kB
- SHA256:
- a4863852e2e2e265b888c4b87d6a39509818b523911df7cab88ba90cc61e8dd1
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