Text Classification
Transformers
PyTorch
English
llama
text-generation
llama-2
text-embeddings-inference
Instructions to use Mikael110/llama-2-13b-guanaco-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mikael110/llama-2-13b-guanaco-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mikael110/llama-2-13b-guanaco-fp16")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Mikael110/llama-2-13b-guanaco-fp16") model = AutoModelForCausalLM.from_pretrained("Mikael110/llama-2-13b-guanaco-fp16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 1 year ago
by
SFconvertbot
Adding Evaluation Results
#3 opened over 2 years ago
by
leaderboard-pr-bot
Adding Evaluation Results
#2 opened almost 3 years ago
by
leaderboard-pr-bot
Train this model on coding datasets to make a BEAST coding model
4
#1 opened about 3 years ago
by
rombodawg