Text Classification
Transformers
Safetensors
GGUF
English
Hindi
Bengali
modernbert
emoji
emoji-prediction
tone-classification
on-device
llama-cpp
code-mixed
hinglish
banglish
text-embeddings-inference
feature-extraction
Instructions to use subhadeep3902/emojet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subhadeep3902/emojet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="subhadeep3902/emojet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("subhadeep3902/emojet") model = AutoModelForSequenceClassification.from_pretrained("subhadeep3902/emojet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use subhadeep3902/emojet with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf subhadeep3902/emojet:F16 --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf subhadeep3902/emojet:F16 --embeddings
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible embeddings server: ./build/bin/llama serve -hf subhadeep3902/emojet:F16 --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use subhadeep3902/emojet with Ollama:
ollama run hf.co/subhadeep3902/emojet:F16
- Unsloth Desktop
- Docker Model Runner
How to use subhadeep3902/emojet with Docker Model Runner:
docker model run hf.co/subhadeep3902/emojet:F16
- Lemonade
How to use subhadeep3902/emojet with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull subhadeep3902/emojet:F16
Run and chat with the model
lemonade run user.emojet-F16
List all available models
lemonade list
- Atomic Chat
Download tokenizer.json from subhadeep3902/emojet: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/subhadeep3902/emojet/resolve/main/tokenizer.json
- Command line
-
hf download hf://subhadeep3902/emojet/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/subhadeep3902/emojet/resolve/main/tokenizer.json
3.58 MB
- Xet hash:
- b3e5e46cbef669a8aac9974ca91a8f2485cf9336b2b1b9150d1d95442c8acf91
- Size of remote file:
- 3.58 MB
- SHA256:
- 6c8aaa9a542084f2457eab775d4eeb51f92a70c0fd9de28d5edb0ddec3c08d30
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