Text Classification
Transformers
ONNX
Safetensors
English
llama
reasoning-detection
small-model
tiny-model
english
34m
text-embeddings-inference
Instructions to use vrishv/thinker-34M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vrishv/thinker-34M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vrishv/thinker-34M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vrishv/thinker-34M") model = AutoModelForSequenceClassification.from_pretrained("vrishv/thinker-34M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download run.json from vrishv/thinker-34M: direct link, hf CLI and curl.
- Browser
- Download file 63 Bytes
-
https://huggingface.co/vrishv/thinker-34M/resolve/main/run.json
- Command line
-
hf download hf://vrishv/thinker-34M/run.json
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curl -L -o run.json https://huggingface.co/vrishv/thinker-34M/resolve/main/run.json
63 Bytes
| {"val_accuracy": 0.7070707070707071, "lr": 0.0001, "epochs": 4} |