Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Meylai/ai-model-try-out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Meylai/ai-model-try-out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Meylai/ai-model-try-out")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Meylai/ai-model-try-out") model = AutoModelForSequenceClassification.from_pretrained("Meylai/ai-model-try-out", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Meylai/ai-model-try-out: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/Meylai/ai-model-try-out/resolve/main/tokenizer.json
- Command line
-
hf download hf://Meylai/ai-model-try-out/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Meylai/ai-model-try-out/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.