Text Classification
Transformers
TensorBoard
Safetensors
bert
HHD
10_class
multi_labels
Generated from Trainer
text-embeddings-inference
Instructions to use FOFO-LIM/bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FOFO-LIM/bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FOFO-LIM/bert-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FOFO-LIM/bert-model") model = AutoModelForSequenceClassification.from_pretrained("FOFO-LIM/bert-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FOFO-LIM/bert-model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/FOFO-LIM/bert-model/resolve/main/training_args.bin
- Command line
-
hf download hf://FOFO-LIM/bert-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/FOFO-LIM/bert-model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 143a00d57f0643a4852c2b764b27098df42c3d4ad0bcac7c59fd3db4436dde82
- Size of remote file:
- 5.3 kB
- SHA256:
- 63857f11403d947f09f6dde41cd95e2165fb2c23a3d7e95579ad0ae82b3d68c7
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