Text Classification
Transformers
PyTorch
Safetensors
English
gemma2
text-generation
text-generation-inference
unsloth
trl
Instructions to use EpistemeAI/EpistemeAI-codegemma-2-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EpistemeAI/EpistemeAI-codegemma-2-9b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EpistemeAI/EpistemeAI-codegemma-2-9b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("EpistemeAI/EpistemeAI-codegemma-2-9b") model = AutoModelForCausalLM.from_pretrained("EpistemeAI/EpistemeAI-codegemma-2-9b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.model from EpistemeAI/EpistemeAI-codegemma-2-9b: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/EpistemeAI/EpistemeAI-codegemma-2-9b/resolve/refs%2Fpr%2F1/tokenizer.model
- Command line
-
hf download hf://EpistemeAI/EpistemeAI-codegemma-2-9b@refs/pr/1/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/EpistemeAI/EpistemeAI-codegemma-2-9b/resolve/refs%2Fpr%2F1/tokenizer.model
4.24 MB
- Xet hash:
- 4747d621061ff864406560d79c8c3e355c05f2e88ba30eba88c8d5881d3d220d
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.