Instructions to use tau/random_1024_0.3_epoch1_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tau/random_1024_0.3_epoch1_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tau/random_1024_0.3_epoch1_v2") model = AutoModelForSeq2SeqLM.from_pretrained("tau/random_1024_0.3_epoch1_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tau/random_1024_0.3_epoch1_v2: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/tau/random_1024_0.3_epoch1_v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tau/random_1024_0.3_epoch1_v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tau/random_1024_0.3_epoch1_v2/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- ce3bd2b822b0c47f0823ff65ded099ac610f86e36ed055b542af018795e064fe
- Size of remote file:
- 3.13 GB
- SHA256:
- ea551e73e9683320f03f362b648fa5a92565841e5be1299e116385ee6d3bb143
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