Instructions to use EricPeter/ktrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricPeter/ktrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EricPeter/ktrain")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EricPeter/ktrain") model = AutoModelForSequenceClassification.from_pretrained("EricPeter/ktrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download directory.zip from EricPeter/ktrain: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/EricPeter/ktrain/resolve/main/directory.zip
- Command line
-
hf download hf://EricPeter/ktrain/directory.zip
-
curl -L -o directory.zip https://huggingface.co/EricPeter/ktrain/resolve/main/directory.zip
1.13 GB
- Xet hash:
- a5ca3912906c01aee738ab5e8c10c2a58e8486322eb42a8b32d28008def0366b
- Size of remote file:
- 1.13 GB
- SHA256:
- 5dee10aa926765e87f0fc5b43df503e508775e9fafba4be54504887259070628
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