Instructions to use EshAhm/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EshAhm/results with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google-bert/bert-base-cased") model = PeftModel.from_pretrained(base_model, "EshAhm/results") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from EshAhm/results: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/EshAhm/results/resolve/main/tokenizer.json
- Command line
-
hf download hf://EshAhm/results/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/EshAhm/results/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 605c9b4644d0ee35f0051c8474d710eb2e90d3fd298d37fb145a9f03b2acb27b
- Size of remote file:
- 33.4 MB
- SHA256:
- 3e28726ff6cde821c9efbc096fba6889eec2ba1d844bad0e5ed7d10fd83704cc
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