Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Instructions to use X1716/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use X1716/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="X1716/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("X1716/test") model = AutoModelForSequenceClassification.from_pretrained("X1716/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from X1716/test: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
-
https://huggingface.co/X1716/test/resolve/main/tokenizer.json
- Command line
-
hf download hf://X1716/test/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/X1716/test/resolve/main/tokenizer.json
3.52 MB
File too large to display, you can check the raw version instead.