Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use palusi/BertSent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use palusi/BertSent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="palusi/BertSent")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("palusi/BertSent") model = AutoModelForSequenceClassification.from_pretrained("palusi/BertSent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from palusi/BertSent: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/palusi/BertSent/resolve/main/training_args.bin
- Command line
-
hf download hf://palusi/BertSent/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/palusi/BertSent/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- e70dfd4553da09f2cebad69993a9ff578bba0005efbb81d3f700eb041be95db6
- Size of remote file:
- 5.37 kB
- SHA256:
- c6cf4af3ddf98b88310cb19b9093793b6091e99d374eeea6b7ebf4df0a7cd0d4
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