Instructions to use harsith05/imdb_practice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harsith05/imdb_practice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harsith05/imdb_practice")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harsith05/imdb_practice") model = AutoModelForSequenceClassification.from_pretrained("harsith05/imdb_practice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from harsith05/imdb_practice: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/harsith05/imdb_practice/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://harsith05/imdb_practice/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/harsith05/imdb_practice/resolve/main/last-checkpoint/trainer_state.json
3.12 kB
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| "is_hyper_param_search": false, | |
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