Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Instructions to use whitesong/bert_model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitesong/bert_model_out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitesong/bert_model_out")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitesong/bert_model_out") model = AutoModelForSequenceClassification.from_pretrained("whitesong/bert_model_out", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from whitesong/bert_model_out: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/whitesong/bert_model_out/resolve/main/training_args.bin
- Command line
-
hf download hf://whitesong/bert_model_out/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/whitesong/bert_model_out/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 1dfad3bd769371839e3f39f0de2a68116947d46e855feb017512ca8b056bc3f1
- Size of remote file:
- 5.37 kB
- SHA256:
- 81aacc33caa0749b09fc26a4f16ba06acde481a5f4cd9c6bc2c688a10f021c24
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