Add LinearPFN inference weights

README.md

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+---
+library_name: pytorch
+tags:
+- time-series
+- forecasting
+- linearpfn
+---
+
+# LinearPFN
+
+Inference weights for the from_paper LinearPFN model.
+
+- seq_len: 96
+- pred_len: 96
+- checkpoint: best_model.pt
+- config: run_config.json
+
+Use from the LinearPFN repo:
+
+```bash
+bash scripts/test_tslib.sh --load_from hf
+```

best_model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5b8146ca763805314b853123e0adc307e97c3eba2fb56daf308d1e1e1e43e88
+size 127130301

run_config.json

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+{
+  "args": {
+    "model": "LinearPFN",
+    "seq_len": 96,
+    "pred_len": 96,
+    "d_model": 512,
+    "d_ff": 2048,
+    "L_blk": 10,
+    "n_heads": 8,
+    "dropout": 0.1,
+    "data_version": "3",
+    "c_min": 32,
+    "c_max": 1536
+  },
+  "notes": "from_paper",
+  "model_params": {
+    "L": 96,
+    "H": 96,
+    "dropout": 0.1,
+    "d": 512,
+    "d_ff": 2048,
+    "L_blk": 10,
+    "n_heads": 8
+  },
+  "data": {
+    "shards_dir": "./series_bank/from_paper",
+    "L": 96,
+    "H": 96,
+    "C_range": [
+      32,
+      1536
+    ],
+    "Q_range": [
+      1,
+      32
+    ]
+  },
+  "train_config": {
+    "total_tasks": 500000,
+    "tasks_per_epoch": 2500,
+    "validate_every": 4,
+    "save_every": 40,
+    "log_every": 250,
+    "n_val_tasks": 500,
+    "early_stopping_patience": 10,
+    "warmup_tasks": 50000
+  }
+}