Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
decision-model
typed-decisions
one-pass
option-probabilities
Instructions to use thegovind/blink-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thegovind/blink-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thegovind/blink-4b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("thegovind/blink-4b") model = AutoModelForCausalLM.from_pretrained("thegovind/blink-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from thegovind/blink-4b: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
-
https://huggingface.co/thegovind/blink-4b/resolve/400f1f6adfbbf2bcfcf081594e9a9cdf10e7c4ce/generation_config.json
- Command line
-
hf download hf://thegovind/blink-4b@400f1f6adfbbf2bcfcf081594e9a9cdf10e7c4ce/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/thegovind/blink-4b/resolve/400f1f6adfbbf2bcfcf081594e9a9cdf10e7c4ce/generation_config.json
116 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": 248044, | |
| "transformers_version": "5.17.0", | |
| "use_cache": true | |
| } | |