Instructions to use hf-internal-testing/tiny-random-PersimmonForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PersimmonForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-PersimmonForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PersimmonForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-PersimmonForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-internal-testing/tiny-random-PersimmonForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 16.5 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-PersimmonForSequenceClassification/resolve/73248d5e9f4a2a1df665a2166554e9edcf7e9b7b/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-PersimmonForSequenceClassification@73248d5e9f4a2a1df665a2166554e9edcf7e9b7b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-PersimmonForSequenceClassification/resolve/73248d5e9f4a2a1df665a2166554e9edcf7e9b7b/tokenizer.json
16.5 MB
- Xet hash:
- 9077c0ee98512ffe8f717839252354166b2a9d068410de28de3b1496af211237
- Size of remote file:
- 16.5 MB
- SHA256:
- 5c624be2d9dddae3e8c82cda48fe5c737ec6710225e953ef851a4023f2d4796a
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