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 assets/blink-4b-post-training.png from thegovind/blink-4b: direct link, hf CLI and curl.
- Browser
- Download file 366 kB
-
https://huggingface.co/thegovind/blink-4b/resolve/400f1f6adfbbf2bcfcf081594e9a9cdf10e7c4ce/assets/blink-4b-post-training.png
- Command line
-
hf download hf://thegovind/blink-4b@400f1f6adfbbf2bcfcf081594e9a9cdf10e7c4ce/assets/blink-4b-post-training.png
-
curl -L -o blink-4b-post-training.png https://huggingface.co/thegovind/blink-4b/resolve/400f1f6adfbbf2bcfcf081594e9a9cdf10e7c4ce/assets/blink-4b-post-training.png
366 kB

- Xet hash:
- cab9c1879d9712d08a1499b05f16e33eae4e6ca685ba0e37fe2afd0cde9e1ffc
- Size of remote file:
- 366 kB
- SHA256:
- 9b29dd9491fa888f65c5878a924a523aeb18bfc06f67912c39822169cf451ffa
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