Upload WindFM-Tokenizer-robust weights and model card

README.md

@@ -0,0 +1,14 @@
+---
+license: mit
+pipeline_tag: time-series-forecasting
+tags:
+- Wind Power
+---
+
+# WindFM-Tokenizer-robust
+
+This repository contains the model weights for `WindFM-Tokenizer-robust`.
+
+Regarding how to use this model, please refer to this GitHub [repository](https://github.com/shiyu-coder/WindFM).
+
+The model supports prediction when some covariates are missing. When a covariate is missing, set all values of that variable to 0.

config.json

@@ -0,0 +1,18 @@
+{
+  "attn_dropout_p": 0.0,
+  "beta": 0.05,
+  "d_in": 6,
+  "d_model": 256,
+  "ff_dim": 512,
+  "ffn_dropout_p": 0.0,
+  "gamma": 1.1,
+  "gamma0": 1.0,
+  "group_size": 5,
+  "n_dec_layers": 4,
+  "n_enc_layers": 4,
+  "n_heads": 4,
+  "resid_dropout_p": 0.0,
+  "s1_bits": 10,
+  "s2_bits": 10,
+  "zeta": 0.05
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53d197a3178b1ae17ff13c11f3e6aef4a15e518b5104ee5b5b479099a7c43d10
+size 15842376