Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kiatkock/sentiment_pc_second with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiatkock/sentiment_pc_second with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kiatkock/sentiment_pc_second")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kiatkock/sentiment_pc_second") model = AutoModelForSequenceClassification.from_pretrained("kiatkock/sentiment_pc_second", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kiatkock/sentiment_pc_second: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/kiatkock/sentiment_pc_second/resolve/main/training_args.bin
- Command line
-
hf download hf://kiatkock/sentiment_pc_second/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kiatkock/sentiment_pc_second/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- ee5af7bc7fd17bf0db8cff10a73ac154d5181be0d56622796633a3f90d6621aa
- Size of remote file:
- 5.11 kB
- SHA256:
- 277738b64d14eef68cf19bac84e20a0e3c807bf59aaa24fad7683572cf8690a7
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