Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use shirwu/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shirwu/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shirwu/output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shirwu/output") model = AutoModelForSequenceClassification.from_pretrained("shirwu/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download default/checkpoint-80/optimizer.pt from shirwu/output: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/shirwu/output/resolve/main/default/checkpoint-80/optimizer.pt
- Command line
-
hf download hf://shirwu/output/default/checkpoint-80/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/shirwu/output/resolve/main/default/checkpoint-80/optimizer.pt
671 MB
- Xet hash:
- 7a0b5c6059832a32cf84db740aa4705df93dcb318e40876bd0cb58410ce2837b
- Size of remote file:
- 671 MB
- SHA256:
- 710a61501fd5a0f58107c924cef3bdb690f37501191cb0f7db83ddc41af47494
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