Text Classification
Transformers
Safetensors
eurobert
commit-messages
humor-detection
lora
git
optuna-optimized
custom_code
Eval Results (legacy)
Instructions to use LBerthalon/eurobert-commit-humor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LBerthalon/eurobert-commit-humor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LBerthalon/eurobert-commit-humor", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LBerthalon/eurobert-commit-humor", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("LBerthalon/eurobert-commit-humor", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from LBerthalon/eurobert-commit-humor: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/LBerthalon/eurobert-commit-humor/resolve/main/tokenizer.json
- Command line
-
hf download hf://LBerthalon/eurobert-commit-humor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/LBerthalon/eurobert-commit-humor/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 97810942f14bde421ad3805d7cb62181a84c89d7f4d0eb759dcebcd5b0aef1a8
- Size of remote file:
- 17.2 MB
- SHA256:
- 7047e66fa20b8bbbc74f170a82ff03ac32f229ffa2c0bf100adab01d6268b019
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