Instructions to use afkpk/bert-emergency-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use afkpk/bert-emergency-classifier with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="afkpk/bert-emergency-classifier")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("afkpk/bert-emergency-classifier")
model = AutoModelForSequenceClassification.from_pretrained("afkpk/bert-emergency-classifier")

llama-cpp-python

How to use afkpk/bert-emergency-classifier with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="afkpk/bert-emergency-classifier",
	filename="bert-emergency-f16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use afkpk/bert-emergency-classifier with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf afkpk/bert-emergency-classifier:F16
# Run inference directly in the terminal:
llama cli -hf afkpk/bert-emergency-classifier:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf afkpk/bert-emergency-classifier:F16
# Run inference directly in the terminal:
llama cli -hf afkpk/bert-emergency-classifier:F16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf afkpk/bert-emergency-classifier:F16
# Run inference directly in the terminal:
./llama-cli -hf afkpk/bert-emergency-classifier:F16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf afkpk/bert-emergency-classifier:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf afkpk/bert-emergency-classifier:F16

Use Docker

docker model run hf.co/afkpk/bert-emergency-classifier:F16

LM Studio
Jan
Ollama
How to use afkpk/bert-emergency-classifier with Ollama:
```
ollama run hf.co/afkpk/bert-emergency-classifier:F16
```

Unsloth Studio

How to use afkpk/bert-emergency-classifier with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for afkpk/bert-emergency-classifier to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for afkpk/bert-emergency-classifier to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for afkpk/bert-emergency-classifier to start chatting

Atomic Chat new
Docker Model Runner
How to use afkpk/bert-emergency-classifier with Docker Model Runner:
```
docker model run hf.co/afkpk/bert-emergency-classifier:F16
```

Lemonade

How to use afkpk/bert-emergency-classifier with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull afkpk/bert-emergency-classifier:F16

Run and chat with the model

lemonade run user.bert-emergency-classifier-F16

List all available models

lemonade list

afkpk commited on Oct 8, 2025

Commit

7cbda06

verified ·

1 Parent(s): 42419ff

Upload 3 files

Browse files

Files changed (4) hide show

.gitattributes +1 -0
bert-download.py +2 -0
bert-emergency-f16.gguf +3 -0
convert_hf_to_gguf.py +0 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+bert-emergency-f16.gguf filter=lfs diff=lfs merge=lfs -text

bert-download.py ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ from huggingface_hub import snapshot_download
2	+ snapshot_download("afkpk/bert-emergency-classifier", local_dir="bert-emergency-classifier")

bert-emergency-f16.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:b5777eb61a1e544aaf51ac78a4c7af7a41e9cbde20fe00601632552cf2f8c6e4
+size 219457376

convert_hf_to_gguf.py ADDED Viewed

The diff for this file is too large to render. See raw diff