Question Answering
Transformers
TensorBoard
Safetensors
gemma
text-generation
trl
sft
Generated from Trainer
text-generation-inference
Instructions to use IvanD2002/gemma-chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IvanD2002/gemma-chatbot with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="IvanD2002/gemma-chatbot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("IvanD2002/gemma-chatbot") model = AutoModelForCausalLM.from_pretrained("IvanD2002/gemma-chatbot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from IvanD2002/gemma-chatbot: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/IvanD2002/gemma-chatbot/resolve/main/training_args.bin
- Command line
-
hf download hf://IvanD2002/gemma-chatbot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IvanD2002/gemma-chatbot/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 729fb3c9beb1304213bf584b44725cc969c5412b6a0371b19e5f13ee003922ba
- Size of remote file:
- 4.92 kB
- SHA256:
- f0d34f4356489d960b5591da979d9ae48e5fc51786dc161a838ef068a8583515
路
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