Text Classification
Transformers
Safetensors
English
qwen2
text-generation
LLM
classification
instruction-tuned
multi-label
qwen
text-embeddings-inference
Instructions to use BenchHub/BenchHub-Cat-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenchHub/BenchHub-Cat-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenchHub/BenchHub-Cat-7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BenchHub/BenchHub-Cat-7b") model = AutoModelForCausalLM.from_pretrained("BenchHub/BenchHub-Cat-7b") - Notebooks
- Google Colab
- Kaggle
Add project page and Github repo to model card, add library_name
#1
by nielsr HF Staff - opened
This PR adds a link to the project page and the Github repository to the model card. Also sets the library_name to "transformers" to improve usability and discoverability.
EunsuKim changed pull request status to merged