Text Classification
Transformers
Safetensors
English
qwen3
text-generation
gnosis
sft
triviaqa
dapo-math
correctness-detection
dapo
hallucination
selfevaluation
reward-model
text-embeddings-inference
Instructions to use AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid") model = AutoModelForCausalLM.from_pretrained("AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid: direct link, hf CLI and curl.
- Browser
- Download file 8.02 kB
-
https://huggingface.co/AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid/resolve/main/training_args.bin
- Command line
-
hf download hf://AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid/resolve/main/training_args.bin
8.02 kB
- Xet hash:
- 2cd7402c4e8e60f1fc619cab8c9db654e195e748b1db1ab674e9e7ae62f08168
- Size of remote file:
- 8.02 kB
- SHA256:
- d7c970d2a17306a02303e9d563e07b631d72f6e805e7231acde6605a816d4c68
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