Translation
Transformers
Safetensors
Keras
English
gemma
text-generation
hinglish
hinglish to english
language translation
keras nlp
nlp
gemma2b
text-generation-inference
Instructions to use rudrashah/RLM-hinglish-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rudrashah/RLM-hinglish-translator with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="rudrashah/RLM-hinglish-translator")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("rudrashah/RLM-hinglish-translator") model = AutoModelForCausalLM.from_pretrained("rudrashah/RLM-hinglish-translator", device_map="auto") - Keras
How to use rudrashah/RLM-hinglish-translator with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://rudrashah/RLM-hinglish-translator") - Notebooks
- Google Colab
- Kaggle