mvkvl/sentiments

mvkvl/ sentiments

1,520 Downloads Updated 1 year ago

Sentiment analysis model

ollama run mvkvl/sentiments:aya

curl http://localhost:11434/api/chat \
  -d '{
    "model": "mvkvl/sentiments:aya",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='mvkvl/sentiments:aya',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'mvkvl/sentiments:aya',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

View all →

Name

6 models

Size

Context

Input

sentiments:aya

4.8GB · 8K context window · Text · 1 year ago

sentiments:aya

4.8GB

Text

sentiments:gemma

5.0GB · 8K context window · Text · 1 year ago

sentiments:gemma

5.0GB

Text

sentiments:llama3

4.7GB · 8K context window · Text · 1 year ago

sentiments:llama3

4.7GB

Text

sentiments:mistral

4.1GB · 32K context window · Text · 1 year ago

sentiments:mistral

4.1GB

32K

Text

sentiments:phi3

2.4GB · 4K context window · Text · 1 year ago

sentiments:phi3

2.4GB

Text

sentiments:qwen2

4.4GB · 32K context window · Text · 1 year ago

sentiments:qwen2

4.4GB

32K

Text

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