Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use RavingRabbit/eformConsult with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RavingRabbit/eformConsult with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RavingRabbit/eformConsult")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RavingRabbit/eformConsult") model = AutoModelForSequenceClassification.from_pretrained("RavingRabbit/eformConsult", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RavingRabbit/eformConsult: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/RavingRabbit/eformConsult/resolve/main/training_args.bin
- Command line
-
hf download hf://RavingRabbit/eformConsult/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RavingRabbit/eformConsult/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- fb157f09c8ecb30c911eaceb8df7f86d45caf1d54037328928312169dd853958
- Size of remote file:
- 4.79 kB
- SHA256:
- 1602644d43508d97754d969043bdfa579484259dbb7a0f5abcd3f731f492e3d4
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