Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use datasetsANDmodels/occupation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasetsANDmodels/occupation-extraction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("datasetsANDmodels/occupation-extraction") model = AutoModelForSeq2SeqLM.from_pretrained("datasetsANDmodels/occupation-extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from datasetsANDmodels/occupation-extraction: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/datasetsANDmodels/occupation-extraction/resolve/c3ee24c70b6e12a88d53b26d25bfbf1ddae175b2/training_args.bin
- Command line
-
hf download hf://datasetsANDmodels/occupation-extraction@c3ee24c70b6e12a88d53b26d25bfbf1ddae175b2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/datasetsANDmodels/occupation-extraction/resolve/c3ee24c70b6e12a88d53b26d25bfbf1ddae175b2/training_args.bin
5.11 kB
- Xet hash:
- fd26ade23bd3ea5319aa2b3b2eee06a9eff9407adf149c3c7f0615eb81b335d7
- Size of remote file:
- 5.11 kB
- SHA256:
- 9ccb753145931f2866595b15a9e1be780b8431d487b1d0a09fba33c6c29d44ed
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