Text Classification
Transformers
Safetensors
truetype_system_one
feature-extraction
custom_code
gemma4
typed-decisions
Instructions to use stephenlb/system-one-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stephenlb/system-one-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="stephenlb/system-one-model", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stephenlb/system-one-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -251,4 +251,15 @@ enc = tokenizer(prompts, return_tensors="pt", padding=True) # padding_side="lef
|
|
| 251 |
logits = model.letter_logits(enc.input_ids, enc.attention_mask) # [batch, 26]
|
| 252 |
```
|
| 253 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 254 |
Source and prompt format: https://github.com/stephenlb/truetype.ai-open
|
|
|
|
| 251 |
logits = model.letter_logits(enc.input_ids, enc.attention_mask) # [batch, 26]
|
| 252 |
```
|
| 253 |
|
| 254 |
+
# [Blocks.ai](https://blocks.ai)
|
| 255 |
+
|
| 256 |
+
We needed an open weight model that offered the capabilities of Jev System One Model.
|
| 257 |
+
Most common AI Agents require decisions making.
|
| 258 |
+
The System One model approach is a great new way to do this.
|
| 259 |
+
Blocks.ai is the secure network for the Internet of Agents (IoA).
|
| 260 |
+
Whether connecting agents to users in your organization or making
|
| 261 |
+
your agents available for public use,
|
| 262 |
+
Blocks.ai makes your agents securely discoverable and callable
|
| 263 |
+
by everyone who needs them most.
|
| 264 |
+
|
| 265 |
Source and prompt format: https://github.com/stephenlb/truetype.ai-open
|