Instructions to use CodeIsAbstract/HybridTimeScaleModel_conti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CodeIsAbstract/HybridTimeScaleModel_conti with Transformers:

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

pipe = pipeline("text-generation", model="CodeIsAbstract/HybridTimeScaleModel_conti", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("CodeIsAbstract/HybridTimeScaleModel_conti", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use CodeIsAbstract/HybridTimeScaleModel_conti with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CodeIsAbstract/HybridTimeScaleModel_conti"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CodeIsAbstract/HybridTimeScaleModel_conti",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/CodeIsAbstract/HybridTimeScaleModel_conti

SGLang

How to use CodeIsAbstract/HybridTimeScaleModel_conti with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "CodeIsAbstract/HybridTimeScaleModel_conti" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CodeIsAbstract/HybridTimeScaleModel_conti",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "CodeIsAbstract/HybridTimeScaleModel_conti" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CodeIsAbstract/HybridTimeScaleModel_conti",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use CodeIsAbstract/HybridTimeScaleModel_conti with Docker Model Runner:
```
docker model run hf.co/CodeIsAbstract/HybridTimeScaleModel_conti
```

CodeIsAbstract commited on 10 days ago

Commit

3d334b9

verified ·

1 Parent(s): 0bf8f5c

Model save

Browse files

Files changed (9) hide show

README.md +55 -0
best_model_streaming.pt/config.json +37 -0
best_model_streaming.pt/generation_config.json +9 -0
best_model_streaming.pt/model.safetensors +3 -0
best_model_streaming.pt/training_args.bin +3 -0
config.json +37 -0
generation_config.json +9 -0
model.safetensors +3 -0
training_args.bin +3 -0

README.md ADDED Viewed

	@@ -0,0 +1,55 @@

+---
+library_name: transformers
+base_model: CodeIsAbstract/HybridTimeScaleModel
+tags:
+- generated_from_trainer
+model-index:
+- name: HybridTimeScaleModel_conti
+  results: []
+---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+# HybridTimeScaleModel_conti
+This model is a fine-tuned version of [CodeIsAbstract/HybridTimeScaleModel](https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel) on an unknown dataset.
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: tpu
+- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
+relative_step=False,scale_parameter=False,warmup_init=False
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 0.05
+- training_steps: 11000
+### Training results
+### Framework versions
+- Transformers 5.12.1
+- Pytorch 2.9.0+cpu
+- Datasets 4.8.5
+- Tokenizers 0.22.2

best_model_streaming.pt/config.json ADDED Viewed

	@@ -0,0 +1,37 @@

+{
+  "architectures": [
+    "HybridFourierLM"
+  ],
+  "auto_map": {
+    "AutoConfig": "model.HybridFourierConfig",
+    "AutoModelForCausalLM": "model.HybridFourierLM"
+  },
+  "bos_token_id": 1,
+  "dropout": 0.05,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "latent_dim": 768,
+  "layer_types": [
+    "linear",
+    "linear",
+    "linear",
+    "softmax",
+    "linear",
+    "linear",
+    "linear",
+    "softmax",
+    "linear",
+    "linear",
+    "linear",
+    "softmax"
+  ],
+  "model_type": "hybrid_fourier_lm",
+  "num_layers": 12,
+  "num_modes": 64,
+  "pad_token_id": 2,
+  "tie_word_embeddings": true,
+  "time_scale": 128.0,
+  "transformers_version": "5.12.1",
+  "use_cache": false,
+  "vocab_size": 32768
+}

best_model_streaming.pt/generation_config.json ADDED Viewed

	@@ -0,0 +1,9 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pad_token_id": 2,
+  "transformers_version": "5.12.1"
+}

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config.json ADDED Viewed

	@@ -0,0 +1,37 @@

+{
+  "architectures": [
+    "HybridFourierLM"
+  ],
+  "auto_map": {
+    "AutoConfig": "model.HybridFourierConfig",
+    "AutoModelForCausalLM": "model.HybridFourierLM"
+  },
+  "bos_token_id": 1,
+  "dropout": 0.05,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "latent_dim": 768,
+  "layer_types": [
+    "linear",
+    "linear",
+    "linear",
+    "softmax",
+    "linear",
+    "linear",
+    "linear",
+    "softmax",
+    "linear",
+    "linear",
+    "linear",
+    "softmax"
+  ],
+  "model_type": "hybrid_fourier_lm",
+  "num_layers": 12,
+  "num_modes": 64,
+  "pad_token_id": 2,
+  "tie_word_embeddings": true,
+  "time_scale": 128.0,
+  "transformers_version": "5.12.1",
+  "use_cache": false,
+  "vocab_size": 32768
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,9 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pad_token_id": 2,
+  "transformers_version": "5.12.1"
+}

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+size 570000656

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