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 5.3 kB
-
https://huggingface.co/datasetsANDmodels/occupation-extraction/resolve/370b45fb631bbd492db10b0a363391c4e0d33b03/training_args.bin
- Command line
-
hf download hf://datasetsANDmodels/occupation-extraction@370b45fb631bbd492db10b0a363391c4e0d33b03/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/datasetsANDmodels/occupation-extraction/resolve/370b45fb631bbd492db10b0a363391c4e0d33b03/training_args.bin
5.3 kB
- Xet hash:
- 7b1336e16e08cdc7c671ac1be3af74ce44ab96e123a700ffda71bd6ea3667fb2
- Size of remote file:
- 5.3 kB
- SHA256:
- e6b6f0d368d54d7aea7454a20957bbce3b8d3ad8a8f15b2163d5d4519ec291d5
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