Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use vtiyyal1/empathy_model_apr3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vtiyyal1/empathy_model_apr3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vtiyyal1/empathy_model_apr3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vtiyyal1/empathy_model_apr3") model = AutoModelForSequenceClassification.from_pretrained("vtiyyal1/empathy_model_apr3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vtiyyal1/empathy_model_apr3: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/vtiyyal1/empathy_model_apr3/resolve/main/training_args.bin
- Command line
-
hf download hf://vtiyyal1/empathy_model_apr3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vtiyyal1/empathy_model_apr3/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 2bd3441962f8fbd005e90c28284d81c00b7fecf9df33a0e7b55e13b42fc869c6
- Size of remote file:
- 4.92 kB
- SHA256:
- d9bf98b8d54c7cb85a3115e5b7bad0d3019c1d245d1cc41a0188abc456d9730e
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