Instructions to use hm192494/distilgpt2-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hm192494/distilgpt2-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hm192494/distilgpt2-finetuned-wikitext2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hm192494/distilgpt2-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("hm192494/distilgpt2-finetuned-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
distilgpt2-finetuned-wikitext2 / logs /validation /events.out.tfevents.1652567697.703e26dfbdde.413.1.v2
Download logs/validation/events.out.tfevents.1652567697.703e26dfbdde.413.1.v2 from hm192494/distilgpt2-finetuned-wikitext2: direct link, hf CLI and curl.
- Browser
- Download file 193 Bytes
-
https://huggingface.co/hm192494/distilgpt2-finetuned-wikitext2/resolve/main/logs/validation/events.out.tfevents.1652567697.703e26dfbdde.413.1.v2
- Command line
-
hf download hf://hm192494/distilgpt2-finetuned-wikitext2/logs/validation/events.out.tfevents.1652567697.703e26dfbdde.413.1.v2
-
curl -L -o events.out.tfevents.1652567697.703e26dfbdde.413.1.v2 https://huggingface.co/hm192494/distilgpt2-finetuned-wikitext2/resolve/main/logs/validation/events.out.tfevents.1652567697.703e26dfbdde.413.1.v2
193 Bytes
- Xet hash:
- c71a1c37149fdab8d204f525b50c274da4b4c227af244099cc14c5e2e286786f
- Size of remote file:
- 193 Bytes
- SHA256:
- 1e397467ac2bb087dd7574f80a0acd85f5bc10058e397693f933282739e0775e
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