Instructions to use FlameF0X/ChessSLM-PM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlameF0X/ChessSLM-PM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FlameF0X/ChessSLM-PM")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FlameF0X/ChessSLM-PM") model = AutoModelForCausalLM.from_pretrained("FlameF0X/ChessSLM-PM") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use FlameF0X/ChessSLM-PM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FlameF0X/ChessSLM-PM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FlameF0X/ChessSLM-PM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/FlameF0X/ChessSLM-PM
- SGLang
How to use FlameF0X/ChessSLM-PM 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 "FlameF0X/ChessSLM-PM" \ --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": "FlameF0X/ChessSLM-PM", "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 "FlameF0X/ChessSLM-PM" \ --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": "FlameF0X/ChessSLM-PM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use FlameF0X/ChessSLM-PM with Docker Model Runner:
docker model run hf.co/FlameF0X/ChessSLM-PM
Upload folder using huggingface_hub
Browse files- config.json +34 -0
- generation_config.json +12 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +20 -0
- trainer_state.json +790 -0
- training_args.bin +3 -0
config.json
ADDED
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{
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"activation_function": "gelu_new",
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"add_cross_attention": false,
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"dtype": "float32",
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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| 12 |
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_embd": 384,
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"n_head": 6,
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"n_inner": null,
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"n_layer": 6,
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"n_positions": 1024,
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| 20 |
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"pad_token_id": 50256,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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| 23 |
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"tie_word_embeddings": true,
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"transformers_version": "5.10.2",
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"use_cache": false,
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"vocab_size": 50257
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": [
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50256
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],
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 50256,
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"transformers_version": "5.10.2",
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"use_cache": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:445a8f535479c6e2390770667d510481570e62662dc5df0fa5aa488a24d610d5
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size 121365368
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a215bd10cebf6046528baa308b8e62f3c705fdd86732521894690352a8f8ea2
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size 242781003
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b43faa323fedb496ca92fc659d81d3f6dc2f73f65b0899c8580623322a05027
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size 14645
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scaler.pt
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version https://git-lfs.github.com/spec/v1
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size 1383
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c46a133444f68fa3f85a06bdf6d8f77bc6b18d9650c14e76f5316a1c5eb9d6d9
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size 1465
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"is_local": false,
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"local_files_only": false,
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"max_length": 512,
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"model_max_length": 1024,
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"pad_to_multiple_of": null,
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"pad_token": "<|endoftext|>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"stride": 0,
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"tokenizer_class": "GPT2Tokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<|endoftext|>"
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}
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trainer_state.json
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