Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use tangminhanh/fin_techgroup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tangminhanh/fin_techgroup with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tangminhanh/fin_techgroup")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tangminhanh/fin_techgroup") model = AutoModelForSequenceClassification.from_pretrained("tangminhanh/fin_techgroup", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tangminhanh/fin_techgroup: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/tangminhanh/fin_techgroup/resolve/main/tokenizer.json
- Command line
-
hf download hf://tangminhanh/fin_techgroup/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tangminhanh/fin_techgroup/resolve/main/tokenizer.json
8.66 MB
File too large to display, you can check the raw version instead.