Instructions to use alinh1803/opt-350-fine-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alinh1803/opt-350-fine-tuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="alinh1803/opt-350-fine-tuning")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("alinh1803/opt-350-fine-tuning") model = AutoModelForCausalLM.from_pretrained("alinh1803/opt-350-fine-tuning") - Notebooks
- Google Colab
- Kaggle
whict dataset did you fine tuning
#1
by Ares09 - opened
hello , i have same problem to solve table answering with GPT
excuse me which dataset did you finetune?
thanks!
Oh, my own dataset
i use your model but i get this error
OSError: Can't load tokenizer for 'alinh1803/opt-350-fine-tuning'. If you were trying to load it from
'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make
sure 'alinh1803/opt-350-fine-tuning' is the correct path to a directory containing all relevant files for a
GPT2TokenizerFast tokenizer.
which your tokenizer do you used?