Text Classification
Transformers
Safetensors
English
echo
research-intent
echo-dsrn
openaire-2026-hackathon
vllm
custom_code
Instructions to use ethicalabs/Echo-DSRN-v0.1.3-Research-Intent-CLF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethicalabs/Echo-DSRN-v0.1.3-Research-Intent-CLF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ethicalabs/Echo-DSRN-v0.1.3-Research-Intent-CLF", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("ethicalabs/Echo-DSRN-v0.1.3-Research-Intent-CLF", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ethicalabs/Echo-DSRN-v0.1.3-Research-Intent-CLF: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/ethicalabs/Echo-DSRN-v0.1.3-Research-Intent-CLF/resolve/main/tokenizer.json
- Command line
-
hf download hf://ethicalabs/Echo-DSRN-v0.1.3-Research-Intent-CLF/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ethicalabs/Echo-DSRN-v0.1.3-Research-Intent-CLF/resolve/main/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.